Randomization Bootstrap And Monte Carlo Methods In Biology

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Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition

Bryan F.J. Manly
Randomization Bootstrap and Monte Carlo Methods in Biology Second Edition Book PDF

Author : Bryan F.J. Manly
Publisher : CRC Press
Page : 428 pages
File Size : 55,8 Mb
Release : 1997-03-01
Category : Mathematics
ISBN : 0412721309

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Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition by Bryan F.J. Manly Pdf

Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition features new material on on bootstrap confidence intervals and significance testing, and incorporates new developments on the treatments of randomization methods for regression and analysis variation, including descriptions of applications of these methods in spreadsheet programs such as Lotus and other commercial packages. This second edition illustrates the value of modern computer intensive methods in the solution of a wide range of problems, with particular emphasis on biological applications. Examples given in the text include the controversial topic of whether there is periodicity between co-occurrences of species on islands.

Randomization, Bootstrap and Monte Carlo Methods in Biology

Bryan F.J. Manly
Randomization Bootstrap and Monte Carlo Methods in Biology Book PDF

Author : Bryan F.J. Manly
Publisher : CRC Press
Page : 468 pages
File Size : 51,6 Mb
Release : 2018-10-03
Category : Mathematics
ISBN : 9781482296419

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Randomization, Bootstrap and Monte Carlo Methods in Biology by Bryan F.J. Manly Pdf

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.

Randomization and Monte Carlo Method

Bryan F.J. Manly
Randomization and Monte Carlo Method Book PDF

Author : Bryan F.J. Manly
Publisher : Chapman and Hall/CRC
Page : 304 pages
File Size : 53,9 Mb
Release : 1991
Category : Mathematics
ISBN : UOM:39015019569337

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Randomization and Monte Carlo Method by Bryan F.J. Manly Pdf

Randomizatioon tests and confidence intervals; Monte Carlo and other computer intensive methods; Some general considerations; One and two sample tests; Regression analysis; Distance matrices and spatial data; Other analyses on sptatial data; Time series; Multivariate data.

Randomization, Bootstrap and Monte Carlo Methods in Biology

Bryan F.J. Manly,Jorge A. Navarro Alberto
Randomization Bootstrap and Monte Carlo Methods in Biology Book PDF

Author : Bryan F.J. Manly,Jorge A. Navarro Alberto
Publisher : CRC Press
Page : 338 pages
File Size : 55,6 Mb
Release : 2020-07-22
Category : Mathematics
ISBN : 9781000080506

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Randomization, Bootstrap and Monte Carlo Methods in Biology by Bryan F.J. Manly,Jorge A. Navarro Alberto Pdf

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications, with data sets available online. Features Presents an overview of computer-intensive statistical methods and applications in biology Covers a wide range of methods including bootstrap, Monte Carlo, ANOVA, regression, and Bayesian methods Makes it easy for biologists, researchers, and students to understand the methods used Provides information about computer programs and packages to implement calculations, particularly using R code Includes a large number of real examples from a range of biological disciplines Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a range of disciplines. The detailed, worked examples of real applications will enable practitioners to apply the methods to their own biological data.

Wildlife Study Design

Michael L. Morrison,William M. Block,M. Dale Strickland,Bret A. Collier,Markus J. Peterson
Wildlife Study Design Book PDF

Author : Michael L. Morrison,William M. Block,M. Dale Strickland,Bret A. Collier,Markus J. Peterson
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 52,7 Mb
Release : 2008-03-21
Category : Science
ISBN : 9780387755274

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Wildlife Study Design by Michael L. Morrison,William M. Block,M. Dale Strickland,Bret A. Collier,Markus J. Peterson Pdf

We developed the first edition of this book because we perceived a need for a compilation on study design with application to studies of the ecology, conser- tion, and management of wildlife. We felt that the need for coverage of study design in one source was strong, and although a few books and monographs existed on some of the topics that we covered, no single work attempted to synthesize the many facets of wildlife study design. We decided to develop this second edition because our original goal – synthesis of study design – remains strong, and because we each gathered a substantial body of new material with which we could update and expand each chapter. Several of us also used the first edition as the basis for workshops and graduate teaching, which provided us with many valuable suggestions from readers on how to improve the text. In particular, Morrison received a detailed review from the graduate s- dents in his “Wildlife Study Design” course at Texas A&M University. We also paid heed to the reviews of the first edition that appeared in the literature.

Multivariate Statistical Methods

Bryan F.J. Manly
Multivariate Statistical Methods Book PDF

Author : Bryan F.J. Manly
Publisher : CRC Press
Page : 228 pages
File Size : 47,5 Mb
Release : 2004-07-06
Category : Mathematics
ISBN : 1584884142

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Multivariate Statistical Methods by Bryan F.J. Manly Pdf

Multivariate methods are now widely used in the quantitative sciences as well as in statistics because of the ready availability of computer packages for performing the calculations. While access to suitable computer software is essential to using multivariate methods, using the software still requires a working knowledge of these methods and how they can be used. Multivariate Statistical Methods: A Primer, Third Edition introduces these methods and provides a general overview of the techniques without overwhelming you with comprehensive details. This thoroughly revised, updated edition of a best-selling introductory text retains the author's trademark clear, concise style but includes a range of new material, new exercises, and supporting materials on the Web. New in the Third Edition: Fully updated references Additional examples and exercises from the social and environmental sciences A comparison of the various statistical software packages, including Stata, Statistica, SAS Minitab, and Genstat, particularly in terms of their ease of use by beginners In his efforts to produce a book that is as short as possible and that enables you to begin to use multivariate methods in an intelligent manner, the author has produced a succinct and handy reference. With updated information on multivariate analyses, new examples using the latest software, and updated references, this book provides a timely introduction to useful tools for statistical analysis.

Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science

Charles J. Mode
Applications of Monte Carlo Methods in Biology Medicine and Other Fields of Science Book PDF

Author : Charles J. Mode
Publisher : BoD – Books on Demand
Page : 442 pages
File Size : 52,7 Mb
Release : 2011-02-28
Category : Computers
ISBN : 9789533074276

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Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science by Charles J. Mode Pdf

This volume is an eclectic mix of applications of Monte Carlo methods in many fields of research should not be surprising, because of the ubiquitous use of these methods in many fields of human endeavor. In an attempt to focus attention on a manageable set of applications, the main thrust of this book is to emphasize applications of Monte Carlo simulation methods in biology and medicine.

Monte Carlo Simulation and Resampling Methods for Social Science

Thomas M. Carsey,Jeffrey J. Harden
Monte Carlo Simulation and Resampling Methods for Social Science Book PDF

Author : Thomas M. Carsey,Jeffrey J. Harden
Publisher : SAGE Publications
Page : 305 pages
File Size : 54,5 Mb
Release : 2013-08-05
Category : Social Science
ISBN : 9781483313474

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Monte Carlo Simulation and Resampling Methods for Social Science by Thomas M. Carsey,Jeffrey J. Harden Pdf

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Comparing Groups

Andrew S. Zieffler,Jeffrey R. Harring,Jeffrey D. Long
Comparing Groups Book PDF

Author : Andrew S. Zieffler,Jeffrey R. Harring,Jeffrey D. Long
Publisher : John Wiley & Sons
Page : 332 pages
File Size : 43,7 Mb
Release : 2012-01-10
Category : Social Science
ISBN : 9781118063675

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Comparing Groups by Andrew S. Zieffler,Jeffrey R. Harring,Jeffrey D. Long Pdf

A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between scientific research questions and data analysis. Rather than relying on mathematical calculations, this book focus on conceptual explanations and the use of statistical computing in an effort to guide readers through the integration of design, statistical methodology, and computation to answer specific research questions regarding group differences. Utilizing the widely-used, freely accessible R software, the authors introduce a modern approach to promote methods that provide a more complete understanding of statistical concepts. Following an introduction to R, each chapter is driven by a research question, and empirical data analysis is used to provide answers to that question. These examples are data-driven inquiries that promote interaction between statistical methods and ideas and computer application. Computer code and output are interwoven in the book to illustrate exactly how each analysis is carried out and how output is interpreted. Additional topical coverage includes: Data exploration of one variable and multivariate data Comparing two groups and many groups Permutation tests, randomization tests, and the independent samples t-Test Bootstrap tests and bootstrap intervals Interval estimates and effect sizes Throughout the book, the authors incorporate data from real-world research studies as well aschapter problems that provide a platform to perform data analyses. A related Web site features a complete collection of the book's datasets along with the accompanying codebooks and the R script files and commands, allowing readers to reproduce the presented output and plots. Comparing Groups: Randomization and Bootstrap Methods Using R is an excellent book for upper-undergraduate and graduate level courses on statistical methods, particularlyin the educational and behavioral sciences. The book also serves as a valuable resource for researchers who need a practical guide to modern data analytic and computational methods.

Monte Carlo Methods for Applied Scientists

Ivan Dimov
Monte Carlo Methods for Applied Scientists Book PDF

Author : Ivan Dimov
Publisher : World Scientific
Page : 308 pages
File Size : 49,8 Mb
Release : 2008
Category : Mathematics
ISBN : 9789812779892

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Monte Carlo Methods for Applied Scientists by Ivan Dimov Pdf

The Monte Carlo method is inherently parallel and the extensive and rapid development in parallel computers, computational clusters and grids has resulted in renewed and increasing interest in this method. At the same time there has been an expansion in the application areas and the method is now widely used in many important areas of science including nuclear and semiconductor physics, statistical mechanics and heat and mass transfer. This book attempts to bridge the gap between theory and practice concentrating on modern algorithmic implementation on parallel architecture machines. Although a suitable text for final year postgraduate mathematicians and computational scientists it is principally aimed at the applied scientists: only a small amount of mathematical knowledge is assumed and theorem proving is kept to a minimum, with the main focus being on parallel algorithms development often to applied industrial problems. A selection of algorithms developed both for serial and parallel machines are provided. Sample Chapter(s). Chapter 1: Introduction (231 KB). Contents: Basic Results of Monte Carlo Integration; Optimal Monte Carlo Method for Multidimensional Integrals of Smooth Functions; Iterative Monte Carlo Methods for Linear Equations; Markov Chain Monte Carlo Methods for Eigenvalue Problems; Monte Carlo Methods for Boundary-Value Problems (BVP); Superconvergent Monte Carlo for Density Function Simulation by B-Splines; Solving Non-Linear Equations; Algorithmic Effciency for Different Computer Models; Applications for Transport Modeling in Semiconductors and Nanowires. Readership: Applied scientists and mathematicians.

Monte Carlo Simulation and Resampling Methods for Social Science

Thomas M. Carsey,Jeffrey J. Harden
Monte Carlo Simulation and Resampling Methods for Social Science Book PDF

Author : Thomas M. Carsey,Jeffrey J. Harden
Publisher : SAGE Publications
Page : 304 pages
File Size : 47,6 Mb
Release : 2013-08-05
Category : Social Science
ISBN : 9781483324920

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Monte Carlo Simulation and Resampling Methods for Social Science by Thomas M. Carsey,Jeffrey J. Harden Pdf

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Resampling-Based Multiple Testing

Peter H. Westfall,S. Stanley Young
Resampling Based Multiple Testing Book PDF

Author : Peter H. Westfall,S. Stanley Young
Publisher : John Wiley & Sons
Page : 382 pages
File Size : 48,5 Mb
Release : 1993-01-12
Category : Mathematics
ISBN : 0471557617

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Resampling-Based Multiple Testing by Peter H. Westfall,S. Stanley Young Pdf

Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.

Randomization Tests

Eugene S. Edgington
Randomization Tests Book PDF

Author : Eugene S. Edgington
Publisher : Unknown
Page : 310 pages
File Size : 42,7 Mb
Release : 1980
Category : Mathematics
ISBN : MINN:31951000025682O

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Randomization Tests by Eugene S. Edgington Pdf

Random assignment; Calculating significance values; One-way analysis of variance and the independent t test; Repeated-measures analysis of variance and the correlated t test; Factorial designs; Multivariate designs; Correlation; Trend tests; One-subject randomization tests.

Modelling and Quantitative Methods in Fisheries

Malcolm Haddon
Modelling and Quantitative Methods in Fisheries Book PDF

Author : Malcolm Haddon
Publisher : CRC Press
Page : 452 pages
File Size : 53,5 Mb
Release : 2011-03-11
Category : Mathematics
ISBN : 9781439894170

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Modelling and Quantitative Methods in Fisheries by Malcolm Haddon Pdf

With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries' scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workb