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BT 34.016 775.762 Td /F1 19.5 Tf [(Foundational And Applied Statistics For Biologists Using R)] TJ ET
BT 34.016 738.661 Td /F1 9.8 Tf [(Thank you very much for downloading )] TJ ET
BT 201.462 738.661 Td /F1 9.8 Tf [(Foundational And Applied Statistics For Biologists Using R)] TJ ET
BT 453.977 738.661 Td /F1 9.8 Tf [(. As you may know, people have search numerous times for their favorite novels like this Foundational And Applied Statistics For Biologists Using R, but end up in )] TJ ET
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BT 34.016 691.247 Td /F1 9.8 Tf [(Foundational And Applied Statistics For Biologists Using R is available in our digital library an online access to it is set as public so you can download it instantly. )] TJ ET
BT 34.016 679.342 Td /F1 9.8 Tf [(Our digital library spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. )] TJ ET
BT 34.016 667.437 Td /F1 9.8 Tf [(Kindly say, the Foundational And Applied Statistics For Biologists Using R is universally compatible with any devices to read)] TJ ET
BT 34.016 624.332 Td /F1 9.8 Tf [(Foundations of Data Science)] TJ ET
BT 159.206 624.332 Td /F1 9.8 Tf [( Avrim Blum 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include )] TJ ET
BT 34.016 612.428 Td /F1 9.8 Tf [(the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms )] TJ ET
BT 34.016 600.523 Td /F1 9.8 Tf [(and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of )] TJ ET
BT 34.016 588.618 Td /F1 9.8 Tf [(large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are )] TJ ET
BT 34.016 576.713 Td /F1 9.8 Tf [(discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.)] TJ ET
BT 34.016 564.809 Td /F1 9.8 Tf [(Statistics for Terrified Biologists)] TJ ET
0.000 0.000 0.000 RG
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34.016 563.200 m 170.009 563.200 l S
BT 170.009 564.809 Td /F1 9.8 Tf [( Helmut F. van Emden 2019-07-09 Makes mathematical and statistical analysis understandable to even the least math-minded biology student This unique textbook aims to demystify statistical formulae for the average biology )] TJ ET
BT 34.016 552.904 Td /F1 9.8 Tf [(student. Written in a lively and engaging style, Statistics for Terrified Biologists, 2nd Edition draws on the author’s 30 years of lecturing experience to teach statistical methods to even the most guarded of biology students. It presents basic methods using )] TJ ET
BT 34.016 540.999 Td /F1 9.8 Tf [(straightforward, jargon-free language. Students are taught to use simple formulae and how to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by )] TJ ET
BT 34.016 529.094 Td /F1 9.8 Tf [(simple examples and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities. Statistics for Terrified Biologists presents readers with the basic )] TJ ET
BT 34.016 517.190 Td /F1 9.8 Tf [(foundations of parametric statistics, the t-test, analysis of variance, linear regression and chi-square, and guides them to important extensions of these techniques. It introduces them to non-parametric tests, and includes a checklist of non-parametric methods )] TJ ET
BT 34.016 505.285 Td /F1 9.8 Tf [(linked to their parametric counterparts. The book also provides many end-of-chapter summaries and additional exercises to help readers understand and practice what they’ve learned. Presented in a clear and easy-to-understand style Makes statistics tangible )] TJ ET
BT 34.016 493.380 Td /F1 9.8 Tf [(and enjoyable for even the most hesitant student Features multiple formulas to facilitate comprehension Written by of the foremost entomologists of his generation This second edition of Statistics for Terrified Biologists is an invaluable guide that will be of great )] TJ ET
BT 34.016 481.475 Td /F1 9.8 Tf [(benefit to pre-health and biology undergraduate students.)] TJ ET
BT 34.016 469.571 Td /F1 9.8 Tf [(Mathematical and Statistical Methods for Genetic Analysis)] TJ ET
BT 284.903 469.571 Td /F1 9.8 Tf [( Kenneth Lange 2012-12-06 Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research. This second )] TJ ET
BT 34.016 457.666 Td /F1 9.8 Tf [(edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.)] TJ ET
BT 34.016 445.761 Td /F1 9.8 Tf [(The Fundamentals of Modern Statistical Genetics)] TJ ET
BT 247.521 445.761 Td /F1 9.8 Tf [( Nan M. Laird 2010-12-13 This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with )] TJ ET
BT 34.016 433.856 Td /F1 9.8 Tf [(Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics \(e.g. aggregation analysis, )] TJ ET
BT 34.016 421.952 Td /F1 9.8 Tf [(segregation, linkage analysis, etc\), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is )] TJ ET
BT 34.016 410.047 Td /F1 9.8 Tf [(statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A )] TJ ET
BT 34.016 398.142 Td /F1 9.8 Tf [(background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.)] TJ ET
BT 34.016 386.237 Td /F1 9.8 Tf [(Quantifying Life)] TJ ET
BT 101.759 386.237 Td /F1 9.8 Tf [( Dmitry A. Kondrashov 2016-08-04 Since the time of Isaac Newton, physicists have used mathematics to describe the behavior of matter of all sizes, from subatomic particles to galaxies. In the past three decades, as advances in molecular )] TJ ET
BT 34.016 374.333 Td /F1 9.8 Tf [(biology have produced an avalanche of data, computational and mathematical techniques have also become necessary tools in the arsenal of biologists. But while quantitative approaches are now providing fundamental insights into biological systems, the )] TJ ET
BT 34.016 362.428 Td /F1 9.8 Tf [(college curriculum for biologists has not caught up, and most biology majors are never exposed to the computational and probabilistic mathematical approaches that dominate in biological research. With Quantifying Life, Dmitry A. Kondrashov offers an )] TJ ET
BT 34.016 350.523 Td /F1 9.8 Tf [(accessible introduction to the breadth of mathematical modeling used in biology today. Assuming only a foundation in high school mathematics, Quantifying Life takes an innovative computational approach to developing mathematical skills and intuition. )] TJ ET
BT 34.016 338.618 Td /F1 9.8 Tf [(Through lessons illustrated with copious examples, mathematical and programming exercises, literature discussion questions, and computational projects of various degrees of difficulty, students build and analyze models based on current research papers and )] TJ ET
BT 34.016 326.714 Td /F1 9.8 Tf [(learn to implement them in the R programming language. This interplay of mathematical ideas, systematically developed programming skills, and a broad selection of biological research topics makes Quantifying Life an invaluable guide for seasoned life )] TJ ET
BT 34.016 314.809 Td /F1 9.8 Tf [(scientists and the next generation of biologists alike.)] TJ ET
BT 34.016 302.904 Td /F1 9.8 Tf [(Foundations and Applications of Statistics)] TJ ET
BT 214.478 302.904 Td /F1 9.8 Tf [( Randall Pruim 2018-04-04 Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful )] TJ ET
BT 34.016 290.999 Td /F1 9.8 Tf [(to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for )] TJ ET
BT 34.016 279.095 Td /F1 9.8 Tf [(several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing )] TJ ET
BT 34.016 267.190 Td /F1 9.8 Tf [(the formal machinery. The topics have been selected to reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment R is used throughout the text and is integral to the exposition. )] TJ ET
BT 34.016 255.285 Td /F1 9.8 Tf [(Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated )] TJ ET
BT 34.016 243.380 Td /F1 9.8 Tf [(geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material for a two-semester course in )] TJ ET
BT 34.016 231.476 Td /F1 9.8 Tf [(undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations. In the second edition, the R code has been updated throughout to take advantage of new )] TJ ET
BT 34.016 219.571 Td /F1 9.8 Tf [(R packages and to illustrate better coding style. New sections have been added covering bootstrap methods, multinomial and multivariate normal distributions, the delta method, numerical methods for Bayesian inference, and nonlinear least squares. Also, the )] TJ ET
BT 34.016 207.666 Td /F1 9.8 Tf [(use of matrix algebra has been expanded, but remains optional, providing instructors with more options regarding the amount of linear algebra required.)] TJ ET
BT 34.016 195.761 Td /F1 9.8 Tf [(Computational Genome Analysis)] TJ ET
BT 175.985 195.761 Td /F1 9.8 Tf [( Richard C. Deonier 2005-12-27 This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and )] TJ ET
BT 34.016 183.857 Td /F1 9.8 Tf [(introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students )] TJ ET
BT 34.016 171.952 Td /F1 9.8 Tf [(in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.)] TJ ET
BT 34.016 160.047 Td /F1 9.8 Tf [(Foundational and Applied Statistics for Biologists Using R)] TJ ET
BT 282.202 160.047 Td /F1 9.8 Tf [( Ken A. Aho 2016-03-09 Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both )] TJ ET
BT 34.016 148.142 Td /F1 9.8 Tf [(modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complica)] TJ ET
BT 34.016 136.238 Td /F1 9.8 Tf [(Heterogeneity in Statistical Genetics)] TJ ET
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BT 190.620 136.238 Td /F1 9.8 Tf [( Derek Gordon 2020-12-16 Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical )] TJ ET
BT 34.016 124.333 Td /F1 9.8 Tf [(genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon. In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. )] TJ ET
BT 34.016 112.428 Td /F1 9.8 Tf [(Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing )] TJ ET
BT 34.016 100.523 Td /F1 9.8 Tf [(statistical power and sample size calculations for tests of genetic association. We anticipate that this book will be useful to researchers who want to estimate heterogeneity in their data, develop or apply genetic association statistics where heterogeneity exists, )] TJ ET
BT 34.016 88.619 Td /F1 9.8 Tf [(and accurately evaluate statistical power and sample size for genetic association through the application of robust experimental design.)] TJ ET
BT 34.016 76.714 Td /F1 9.8 Tf [(Algebraic and Discrete Mathematical Methods for Modern Biology)] TJ ET
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BT 317.409 76.714 Td /F1 9.8 Tf [( Raina Robeva 2015-05-09 Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, )] TJ ET
BT 34.016 64.809 Td /F1 9.8 Tf [(providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory )] TJ ET
BT 34.016 52.904 Td /F1 9.8 Tf [(appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and )] TJ ET
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BT 34.016 798.350 Td /F1 9.8 Tf [(exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics )] TJ ET
BT 34.016 786.446 Td /F1 9.8 Tf [(courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, )] TJ ET
BT 34.016 774.541 Td /F1 9.8 Tf [(biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of essential biology Features material of interest to students in both )] TJ ET
BT 34.016 762.636 Td /F1 9.8 Tf [(mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern )] TJ ET
BT 34.016 750.731 Td /F1 9.8 Tf [(biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features a companion website with supplementary resources)] TJ ET
BT 34.016 738.827 Td /F1 9.8 Tf [(Time Series)] TJ ET
BT 86.022 738.827 Td /F1 9.8 Tf [( Peter Diggle 1990 Time-series analysis is one of several branches of statistics whose practical importance has increased with the availability of powerful computing tools. Methodology originally developed for specialized applications, for example in )] TJ ET
BT 34.016 726.922 Td /F1 9.8 Tf [(business forecasting or geophysical signal processing, is now widely available in general statistical packages. These computing developments have helped to bring the subject closer to the mainstream of applied statistics. This book is an introductory account )] TJ ET
BT 34.016 715.017 Td /F1 9.8 Tf [(of time-series analysis, written from the perspective of an applied statitician with a particular interest in biological applications. Throughout, analyses of data-sets drawn from the biological and medical sciences are integrated with the methodological )] TJ ET
BT 34.016 703.112 Td /F1 9.8 Tf [(development. The book is unique in its emphasis on biological and medical applications of time-series analysis. Nevertheless, its methodological content is more widely applicable. It should be useful to both students and practitioners of applied statistics )] TJ ET
BT 34.016 691.208 Td /F1 9.8 Tf [(whatever their field of application, and to biologists whose work involves the analysis of time-series data. Book jacket.)] TJ ET
BT 34.016 679.303 Td /F1 9.8 Tf [(An Introduction to Statistical Learning)] TJ ET
BT 195.515 679.303 Td /F1 9.8 Tf [( Gareth James 2013-06-24 An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have )] TJ ET
BT 34.016 667.398 Td /F1 9.8 Tf [(emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, )] TJ ET
BT 34.016 655.493 Td /F1 9.8 Tf [(classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate )] TJ ET
BT 34.016 643.589 Td /F1 9.8 Tf [(the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. )] TJ ET
BT 34.016 631.684 Td /F1 9.8 Tf [(Two of the authors co-wrote The Elements of Statistical Learning \(Hastie, Tibshirani and Friedman, 2nd edition 2009\), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same )] TJ ET
BT 34.016 619.779 Td /F1 9.8 Tf [(topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear )] TJ ET
BT 34.016 607.874 Td /F1 9.8 Tf [(regression and no knowledge of matrix algebra.)] TJ ET
BT 34.016 595.970 Td /F1 9.8 Tf [(Multivariate Analysis of Ecological Data)] TJ ET
BT 204.153 595.970 Td /F1 9.8 Tf [( Michael Greenacre 2014-01-09 La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el )] TJ ET
BT 34.016 584.065 Td /F1 9.8 Tf [(medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas )] TJ ET
BT 34.016 572.160 Td /F1 9.8 Tf [(cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada )] TJ ET
BT 34.016 560.255 Td /F1 9.8 Tf [(cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos )] TJ ET
BT 34.016 548.351 Td /F1 9.8 Tf [(específicos, métodos como aglomeración \(clustering\), regresión, biplots, escalado multidimensional, análisis de correspondencias \(simple y canónico\) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales. El libro )] TJ ET
BT 34.016 536.446 Td /F1 9.8 Tf [(plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños )] TJ ET
BT 34.016 524.541 Td /F1 9.8 Tf [(complejos.)] TJ ET
BT 34.016 512.636 Td /F1 9.8 Tf [(Statistical Foundations of Data Science)] TJ ET
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BT 203.636 512.636 Td /F1 9.8 Tf [( Jianqing Fan 2020-09-21 Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their )] TJ ET
BT 34.016 500.732 Td /F1 9.8 Tf [(mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that )] TJ ET
BT 34.016 488.827 Td /F1 9.8 Tf [(involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model )] TJ ET
BT 34.016 476.922 Td /F1 9.8 Tf [(building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among )] TJ ET
BT 34.016 465.017 Td /F1 9.8 Tf [(others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their )] TJ ET
BT 34.016 453.113 Td /F1 9.8 Tf [(applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, )] TJ ET
BT 34.016 441.208 Td /F1 9.8 Tf [(support vector machines, clustering algorithms, sparse PCA, and deep learning.)] TJ ET
BT 34.016 429.303 Td /F1 9.8 Tf [(An R Companion for Applied Statistics I)] TJ ET
BT 204.709 429.303 Td /F1 9.8 Tf [( Danney Rasco 2020-01-28 An R Companion for Applied Statistics I: Basic Bivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use it. R is a )] TJ ET
BT 34.016 417.398 Td /F1 9.8 Tf [(powerful, flexible, and free tool. However, the flexibility—which eventually becomes a great asset—can make the initial learning curve appear steep. This book introduces a few key aspects of the R tool. As readers become comfortable with these aspects, they )] TJ ET
BT 34.016 405.494 Td /F1 9.8 Tf [(develop a foundation from which to more thoroughly explore R and the packages available for it. This introduction does not explain every possible way to analyze data or perform a specific type of analysis. Rather, it focuses on the analyses that are traditionally )] TJ ET
BT 34.016 393.589 Td /F1 9.8 Tf [(included in an undergraduate statistics course and provides one or two ways to run these analyses in R. Datasets and scripts to run the examples are provided on an accompanying website. The book has been designed to be an R companion to Warner's )] TJ ET
BT 34.016 381.684 Td /F1 9.8 Tf [(Applied Statistics I, Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide, without reference to the Warner text.)] TJ ET
BT 34.016 369.779 Td /F1 9.8 Tf [(Biostatistics)] TJ ET
BT 85.486 369.779 Td /F1 9.8 Tf [( Wayne W. Daniel 2018-11-13 The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the )] TJ ET
BT 34.016 357.875 Td /F1 9.8 Tf [(Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and )] TJ ET
BT 34.016 345.970 Td /F1 9.8 Tf [(appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical )] TJ ET
BT 34.016 334.065 Td /F1 9.8 Tf [(tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential )] TJ ET
BT 34.016 322.160 Td /F1 9.8 Tf [(and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional )] TJ ET
BT 34.016 310.256 Td /F1 9.8 Tf [(reference.)] TJ ET
BT 34.016 298.351 Td /F1 9.8 Tf [(Principles of Applied Statistics)] TJ ET
BT 164.061 298.351 Td /F1 9.8 Tf [( D. R. Cox 2011-07-28 Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful )] TJ ET
BT 34.016 286.446 Td /F1 9.8 Tf [(application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be )] TJ ET
BT 34.016 274.541 Td /F1 9.8 Tf [(a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of )] TJ ET
BT 34.016 262.637 Td /F1 9.8 Tf [(statistical methods in their work.)] TJ ET
BT 34.016 250.732 Td /F1 9.8 Tf [(Learning Statistics with R)] TJ ET
BT 143.469 250.732 Td /F1 9.8 Tf [( Daniel Navarro )] TJ ET
BT 34.016 238.827 Td /F1 9.8 Tf [(Statistics with R)] TJ ET
BT 102.821 238.827 Td /F1 9.8 Tf [( Robert Stinerock 2018-01-08 The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in )] TJ ET
BT 34.016 226.922 Td /F1 9.8 Tf [(statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. )] TJ ET
BT 34.016 215.018 Td /F1 9.8 Tf [(The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and )] TJ ET
BT 34.016 203.113 Td /F1 9.8 Tf [(jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions. Author Robert Stinerock has also created a wide range of )] TJ ET
BT 34.016 191.208 Td /F1 9.8 Tf [(online resources, including: R scripts, complete solutions for all exercises, data files for each chapter, video and screen casts, and interactive multiple-choice quizzes.)] TJ ET
BT 34.016 179.303 Td /F1 9.8 Tf [(An Introduction to Statistical Analysis in Research, Optimized Edition)] TJ ET
BT 330.425 179.303 Td /F1 9.8 Tf [( Kathleen F. Weaver 2017-08-10 Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insights into )] TJ ET
BT 34.016 167.399 Td /F1 9.8 Tf [(the techniques and interpretations of R, SPSS®, Excel®, and Numbers® output An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences develops a conceptual foundation in statistical analysis while providing )] TJ ET
BT 34.016 155.494 Td /F1 9.8 Tf [(readers with opportunities to practice these skills via research-based data sets in biology, kinesiology, and physical anthropology. Readers are provided with a detailed introduction and orientation to statistical analysis as well as practical examples to ensure a )] TJ ET
BT 34.016 143.589 Td /F1 9.8 Tf [(thorough understanding of the concepts and methodology. In addition, the book addresses not just the statistical concepts researchers should be familiar with, but also demonstrates their relevance to real-world research questions and how to perform them )] TJ ET
BT 34.016 131.684 Td /F1 9.8 Tf [(using easily available software packages including R, SPSS®, Excel®, and Numbers®. Specific emphasis is on the practical application of statistics in the biological and life sciences, while enhancing reader skills in identifying the research questions and )] TJ ET
BT 34.016 119.780 Td /F1 9.8 Tf [(testable hypotheses, determining the appropriate experimental methodology and statistical analyses, processing data, and reporting the research outcomes. In addition, this book: • Aims to develop readers’ skills including how to report research outcomes, )] TJ ET
BT 34.016 107.875 Td /F1 9.8 Tf [(determine the appropriate experimental methodology and statistical analysis, and identify the needed research questions and testable hypotheses • Includes pedagogical elements throughout that enhance the overall learning experience including case studies )] TJ ET
BT 34.016 95.970 Td /F1 9.8 Tf [(and tutorials, all in an effort to gain full comprehension of designing an experiment, considering biases and uncontrolled variables, analyzing data, and applying the appropriate statistical application with valid justification • Fills the gap between theoretically )] TJ ET
BT 34.016 84.065 Td /F1 9.8 Tf [(driven, mathematically heavy texts and introductory, step-by-step type books while preparing readers with the programming skills needed to carry out basic statistical tests, build support figures, and interpret the results • Provides a companion website that )] TJ ET
BT 34.016 72.161 Td /F1 9.8 Tf [(features related R, SPSS, Excel, and Numbers data sets, sample PowerPoint® lecture slides, end of the chapter review questions, software video tutorials that highlight basic statistical concepts, and a student workbook and instructor manual An Introduction to )] TJ ET
BT 34.016 60.256 Td /F1 9.8 Tf [(Statistical Analysis in Research: With Applications in the Biological and Life Sciences is an ideal textbook for upper-undergraduate and graduate-level courses in research methods, biostatistics, statistics, biology, kinesiology, sports science and medicine, )] TJ ET
BT 34.016 48.351 Td /F1 9.8 Tf [(health and physical education, medicine, and nutrition. The book is also appropriate as a reference for researchers and professionals in the fields of anthropology, sports research, sports science, and physical education. KATHLEEN F. WEAVER, PhD, is )] TJ ET
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BT 34.016 798.350 Td /F1 9.8 Tf [(Associate Dean of Learning, Innovation, and Teaching and Professor in the Department of Biology at the University of La Verne. The author of numerous journal articles, she received her PhD in Ecology and Evolutionary Biology from the University of )] TJ ET
BT 34.016 786.446 Td /F1 9.8 Tf [(Colorado. VANESSA C. MORALES, BS, is Assistant Director of the Academic Success Center at the University of La Verne. SARAH L. DUNN, PhD, is Associate Professor in the Department of Kinesiology at the University of La Verne and is Director of )] TJ ET
BT 34.016 774.541 Td /F1 9.8 Tf [(Research and Sponsored Programs. She has authored numerous journal articles and received her PhD in Health and Exercise Science from the University of New South Wales. KANYA GODDE, PhD, is Assistant Professor in the Department of Anthropology )] TJ ET
BT 34.016 762.636 Td /F1 9.8 Tf [(and is Director/Chair of Institutional Review Board at the University of La Verne. The author of numerous j)] TJ ET
BT 34.016 750.731 Td /F1 9.8 Tf [(Fundamentals of Mathematical Statistics)] TJ ET
0.195 w 0 J [ ] 0 d
34.016 749.123 m 209.038 749.123 l S
BT 209.038 750.731 Td /F1 9.8 Tf [( S.C. Gupta 2020-09-10 Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised )] TJ ET
BT 34.016 738.827 Td /F1 9.8 Tf [(and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly )] TJ ET
BT 34.016 726.922 Td /F1 9.8 Tf [(revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision )] TJ ET
BT 34.016 715.017 Td /F1 9.8 Tf [(has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. )] TJ ET
BT 34.016 703.112 Td /F1 9.8 Tf [(Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been )] TJ ET
BT 34.016 691.208 Td /F1 9.8 Tf [(thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The )] TJ ET
BT 34.016 679.303 Td /F1 9.8 Tf [(subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the )] TJ ET
BT 34.016 667.398 Td /F1 9.8 Tf [(constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge updating is a never-ending process and so should be the )] TJ ET
BT 34.016 655.493 Td /F1 9.8 Tf [(revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough )] TJ ET
BT 34.016 643.589 Td /F1 9.8 Tf [(revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of )] TJ ET
BT 34.016 631.684 Td /F1 9.8 Tf [(numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well )] TJ ET
BT 34.016 619.779 Td /F1 9.8 Tf [(as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Some prominent additions are given below: 1. Variance of Degenerate Random Variable 2. Approximate Expression for Expectation and )] TJ ET
BT 34.016 607.874 Td /F1 9.8 Tf [(Variance 3. Lyapounov’s Inequality 4. Holder’s Inequality 5. Minkowski’s Inequality 6. Double Expectation Rule or Double-E Rule and many others)] TJ ET
BT 34.016 595.970 Td /F1 9.8 Tf [(The Mathematics and Mechanics of Biological Growth)] TJ ET
BT 266.475 595.970 Td /F1 9.8 Tf [( Alain Goriely 2017-05-29 This monograph presents a general mathematical theory for biological growth. It provides both a conceptual and a technical foundation for the understanding and analysis of )] TJ ET
BT 34.016 584.065 Td /F1 9.8 Tf [(problems arising in biology and physiology. The theory and methods are illustrated on a wide range of examples and applications. A process of extreme complexity, growth plays a fundamental role in many biological processes and is considered to be the )] TJ ET
BT 34.016 572.160 Td /F1 9.8 Tf [(hallmark of life itself. Its description has been one of the fundamental problems of life sciences, but until recently, it has not attracted much attention from mathematicians, physicists, and engineers. The author herein presents the first major technical )] TJ ET
BT 34.016 560.255 Td /F1 9.8 Tf [(monograph on the problem of growth since D’Arcy Wentworth Thompson’s 1917 book On Growth and Form. The emphasis of the book is on the proper mathematical formulation of growth kinematics and mechanics. Accordingly, the discussion proceeds in )] TJ ET
BT 34.016 548.351 Td /F1 9.8 Tf [(order of complexity and the book is divided into five parts. First, a general introduction on the problem of growth from a historical perspective is given. Then, basic concepts are introduced within the context of growth in filamentary structures. These ideas are )] TJ ET
BT 34.016 536.446 Td /F1 9.8 Tf [(then generalized to surfaces and membranes and eventually to the general case of volumetric growth. The book concludes with a discussion of open problems and outstanding challenges. Thoughtfully written and richly illustrated to be accessible to readers of )] TJ ET
BT 34.016 524.541 Td /F1 9.8 Tf [(varying interests and background, the text will appeal to life scientists, biophysicists, biomedical engineers, and applied mathematicians alike.)] TJ ET
BT 34.016 512.636 Td /F1 9.8 Tf [(Design and Analysis of Vaccine Studies)] TJ ET
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34.016 511.028 m 205.801 511.028 l S
BT 205.801 512.636 Td /F1 9.8 Tf [( M. Elizabeth Halloran 2009-10-27 As well as being a reference for the design, analysis, and interpretation of vaccine studies, the text covers all design and analysis stages, from vaccine development to post-licensure )] TJ ET
BT 34.016 500.732 Td /F1 9.8 Tf [(surveillance, presenting likelihood, frequentists, and Bayesian approaches.)] TJ ET
BT 34.016 488.827 Td /F1 9.8 Tf [(Modern Statistics for Modern Biology)] TJ ET
0.195 w 0 J [ ] 0 d
34.016 487.218 m 193.321 487.218 l S
BT 193.321 488.827 Td /F1 9.8 Tf [( Susan Holmes 2018-11-30 A far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation.)] TJ ET
BT 34.016 476.922 Td /F1 9.8 Tf [(Introduction to Statistical Data Analysis for the Life Sciences)] TJ ET
BT 293.590 476.922 Td /F1 9.8 Tf [( Claus Thorn Ekstrom 2014-11-06 A Hands-On Approach to Teaching Introductory StatisticsExpanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second )] TJ ET
BT 34.016 465.017 Td /F1 9.8 Tf [(Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the m)] TJ ET
BT 34.016 453.113 Td /F1 9.8 Tf [(Introduction to Statistics for Biology)] TJ ET
BT 186.291 453.113 Td /F1 9.8 Tf [( Trudy A. Watt 2007-05-17 Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying biological subjects often lack confidence in their )] TJ ET
BT 34.016 441.208 Td /F1 9.8 Tf [(numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subjec)] TJ ET
BT 34.016 429.303 Td /F1 9.8 Tf [(Python Programming for Biology)] TJ ET
BT 174.357 429.303 Td /F1 9.8 Tf [( Tim J. Stevens 2015-02-12 Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in )] TJ ET
BT 34.016 417.398 Td /F1 9.8 Tf [(computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: )] TJ ET
BT 34.016 405.494 Td /F1 9.8 Tf [(a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine )] TJ ET
BT 34.016 393.589 Td /F1 9.8 Tf [(learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and )] TJ ET
BT 34.016 381.684 Td /F1 9.8 Tf [(professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.)] TJ ET
BT 34.016 369.779 Td /F1 9.8 Tf [(Analysis of Biological Data)] TJ ET
BT 34.016 357.875 Td /F1 9.8 Tf [(Introductory Fisheries Analyses with R)] TJ ET
BT 199.814 357.875 Td /F1 9.8 Tf [( Derek H. Ogle 2018-09-03 A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock assessment )] TJ ET
BT 34.016 345.970 Td /F1 9.8 Tf [(analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate and graduate students, the book demonstrates the flexibility and power of R, offers insight into the reproducibility of script-based analyses, and )] TJ ET
BT 34.016 334.065 Td /F1 9.8 Tf [(shows how the use of R leads to more efficient and productive work in fisheries science. The first three chapters present a minimal introduction to the R environment that builds a foundation for the fisheries-specific analyses in the remainder of the book. These )] TJ ET
BT 34.016 322.160 Td /F1 9.8 Tf [(chapters help you become familiar with R for basic fisheries analyses and graphics. Subsequent chapters focus on methods to analyze age comparisons, age-length keys, size structure, weight-length relationships, condition, abundance \(from capture-recapture )] TJ ET
BT 34.016 310.256 Td /F1 9.8 Tf [(and depletion data\), mortality rates, individual growth, and the stock-recruit relationship. The fundamental statistical methods of linear regression, analysis of variance \(ANOVA\), and nonlinear regression are demonstrated within the contexts of these common )] TJ ET
BT 34.016 298.351 Td /F1 9.8 Tf [(fisheries analyses. For each analysis, the author completely explains the R functions and provides sufficient background information so that you can confidently implement each method. Web Resource The author’s website at http://derekogle.com/IFAR/ )] TJ ET
BT 34.016 286.446 Td /F1 9.8 Tf [(includes the data files and R code for each chapter, enabling you to reproduce the results in the book as well as create your own scripts. The site also offers supplemental code for more advanced analyses and practice exercises for every chapter.)] TJ ET
BT 34.016 274.541 Td /F1 9.8 Tf [(Bayesian Biostatistics and Diagnostic Medicine)] TJ ET
0.195 w 0 J [ ] 0 d
34.016 272.933 m 237.215 272.933 l S
BT 237.215 274.541 Td /F1 9.8 Tf [( Lyle D. Broemeling 2007-07-12 There are numerous advantages to using Bayesian methods in diagnostic medicine, which is why they are employed more and more today in clinical studies. Exploring Bayesian )] TJ ET
BT 34.016 262.637 Td /F1 9.8 Tf [(statistics at an introductory level, Bayesian Biostatistics and Diagnostic Medicine illustrates how to apply these methods to solve important problems in medicine and biology. After focusing on the wide range of areas where diagnostic medicine is used, the book )] TJ ET
BT 34.016 250.732 Td /F1 9.8 Tf [(introduces Bayesian statistics and the estimation of accuracy by sensitivity, specificity, and positive and negative predictive values for ordinal and continuous diagnostic measurements. The author then discusses patient covariate information and the statistical )] TJ ET
BT 34.016 238.827 Td /F1 9.8 Tf [(methods for estimating the agreement among observers. The book also explains the protocol review process for cancer clinical trials, how tumor responses are categorized, how to use WHO and RECIST criteria, and how Bayesian sequential methods are )] TJ ET
BT 34.016 226.922 Td /F1 9.8 Tf [(employed to monitor trials and estimate sample sizes. With many tables and figures, this book enables readers to conduct a Bayesian analysis for a large variety of interesting and practical biomedical problems.)] TJ ET
BT 34.016 215.018 Td /F1 9.8 Tf [(Statistical Models)] TJ ET
BT 109.871 215.018 Td /F1 9.8 Tf [( David A. Freedman 2009-04-27 This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. )] TJ ET
BT 34.016 203.113 Td /F1 9.8 Tf [(The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of )] TJ ET
BT 34.016 191.208 Td /F1 9.8 Tf [(other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection \(or lack of it\) between the statistical models and the real phenomena. The book is written for )] TJ ET
BT 34.016 179.303 Td /F1 9.8 Tf [(advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.)] TJ ET
BT 34.016 167.399 Td /F1 9.8 Tf [(The Behavioral and Social Sciences)] TJ ET
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BT 190.084 167.399 Td /F1 9.8 Tf [( National Research Council 1988-02-01 This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, )] TJ ET
BT 34.016 155.494 Td /F1 9.8 Tf [(education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes )] TJ ET
BT 34.016 143.589 Td /F1 9.8 Tf [(recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.)] TJ ET
BT 34.016 131.684 Td /F1 9.8 Tf [(Introductory Statistics with R)] TJ ET
BT 157.012 131.684 Td /F1 9.8 Tf [( Peter Dalgaard 2008-06-27 This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with )] TJ ET
BT 34.016 119.780 Td /F1 9.8 Tf [(liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All )] TJ ET
BT 34.016 107.875 Td /F1 9.8 Tf [(examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way )] TJ ET
BT 34.016 95.970 Td /F1 9.8 Tf [(analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.)] TJ ET
BT 34.016 84.065 Td /F1 9.8 Tf [(Statistical Methods in Biology)] TJ ET
BT 160.814 84.065 Td /F1 9.8 Tf [( S.J. Welham 2014-08-22 Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and )] TJ ET
BT 34.016 72.161 Td /F1 9.8 Tf [(data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural scien)] TJ ET
BT 34.016 60.256 Td /F1 9.8 Tf [(The New Statistics with R)] TJ ET
BT 144.542 60.256 Td /F1 9.8 Tf [( Andy Hector 2015 Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologist's training. This accessible book provides a )] TJ ET
BT 34.016 48.351 Td /F1 9.8 Tf [(contemporary introduction to the classical techniques and modern extensions of linear model analysis: one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. It emphasizes an estimation-based approach that )] TJ ET
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BT 34.016 798.350 Td /F1 9.8 Tf [(accounts for recent criticisms of the over-use of probability values, and introduces alternative approaches using information criteria. Statistics are introduced through worked analyses performed in R, the free open source programming language for statistics )] TJ ET
BT 34.016 786.446 Td /F1 9.8 Tf [(and graphics, which is rapidly becoming the standard software in many areas of science and technology. These analyses use real data sets from ecology, evolutionary biology and environmental science, and the data sets and R scripts are available as support )] TJ ET
BT 34.016 774.541 Td /F1 9.8 Tf [(material. The book's structure and user friendly style stem from the author's 20 years of experience teaching statistics to life and environmental scientists at both the undergraduate and graduate levels. The New Statistics with R is suitable for senior )] TJ ET
BT 34.016 762.636 Td /F1 9.8 Tf [(undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology.)] TJ ET
BT 34.016 750.731 Td /F1 9.8 Tf [(A Handbook of Statistical Analyses using R)] TJ ET
BT 220.972 750.731 Td /F1 9.8 Tf [( Torsten Hothorn 2014-05-30 Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. )] TJ ET
BT 34.016 738.827 Td /F1 9.8 Tf [(The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.New to the Third Edition)] TJ ET
BT 34.016 726.922 Td /F1 9.8 Tf [(Managing Your Biological Data with Python)] TJ ET
BT 220.972 726.922 Td /F1 9.8 Tf [( Allegra Via 2014-03-18 Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life )] TJ ET
BT 34.016 715.017 Td /F1 9.8 Tf [(scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how)] TJ ET
BT 34.016 703.112 Td /F1 9.8 Tf [(Statistics for Biologists)] TJ ET
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BT 131.545 703.112 Td /F1 9.8 Tf [( Campbell 1967-11-02 )] TJ ET
BT 34.016 691.208 Td /F1 9.8 Tf [(Fundamentals of Biostatistics)] TJ ET
BT 160.814 691.208 Td /F1 9.8 Tf [( Bernard Rosner 2015-07-29 Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future )] TJ ET
BT 34.016 679.303 Td /F1 9.8 Tf [(courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation \(algebra-based\) while still giving complete explanations of all the important concepts. As in previous )] TJ ET
BT 34.016 667.398 Td /F1 9.8 Tf [(editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems. Most methods are illustrated with specific instructions as to implementation using )] TJ ET
BT 34.016 655.493 Td /F1 9.8 Tf [(software either from SAS, Stata, R, Excel or Minitab. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.)] TJ ET
BT 34.016 643.589 Td /F1 9.8 Tf [(Ecological Statistics)] TJ ET
BT 120.167 643.589 Td /F1 9.8 Tf [( Gordon A. Fox 2015 The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued )] TJ ET
BT 34.016 631.684 Td /F1 9.8 Tf [(growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book )] TJ ET
BT 34.016 619.779 Td /F1 9.8 Tf [(synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues )] TJ ET
BT 34.016 607.874 Td /F1 9.8 Tf [(characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links )] TJ ET
BT 34.016 595.970 Td /F1 9.8 Tf [(among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear \(mixed\) models, spatially or phylogenetically-structured data, and data synthesis, )] TJ ET
BT 34.016 584.065 Td /F1 9.8 Tf [(with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for )] TJ ET
BT 34.016 572.160 Td /F1 9.8 Tf [(graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented )] TJ ET
BT 34.016 560.255 Td /F1 9.8 Tf [(code in the R language.)] TJ ET
BT 36.266 526.360 Td /F1 8.0 Tf [(foundational-and-applied-statistics-for-biologists-using-r)] TJ ET
BT 918.620 526.567 Td /F1 8.0 Tf [(Downloaded from )] TJ ET
BT 983.532 526.360 Td /F1 8.0 Tf [(diagramiq.com)] TJ ET
BT 1035.988 526.567 Td /F1 8.0 Tf [( on September 28, 2022 by guest)] TJ ET
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trailer
<<
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>>
startxref
60387
%%EOF