Randomization Tests - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Randomization Tests write by Eugene Edgington. This book was released on 2007-02-22. Randomization Tests available in PDF, EPUB and Kindle. The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance testing, computing facilities, and randomization test algorithms have necessitated a new edition of Randomization Tests. Updated, reorganized, and revised, the text emphasizes the irrelevance and implausibility of the random sampling assumption for the typical experiment in three completely rewritten chapters. It also discusses factorial designs and interactions and combines repeated-measures and randomized block designs in one chapter. The authors focus more attention on the practicality of N-of-1 randomization tests and the availability of user-friendly software to perform them. In addition, they provide an overview of free and commercial computer programs for all of the tests presented in the book. Building on the previous editions that have served as standard textbooks for more than twenty-five years, Randomization Tests, Fourth Edition includes downloadable resources of up-to-date randomization test programs that facilitate application of the tests to experimental data. This CD-ROM enables students to work out problems that have been added to the chapters and helps professors teach the basics of randomization tests and devise tasks for assignments and examinations.
Randomization Tests
Randomization Tests - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Randomization Tests write by Eugene S. Edgington. This book was released on 1980. Randomization Tests available in PDF, EPUB and Kindle. 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.
Randomization Tests, Fourth Edition
Randomization Tests, Fourth Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Randomization Tests, Fourth Edition write by Eugene Edgington. This book was released on 1995-07-25. Randomization Tests, Fourth Edition available in PDF, EPUB and Kindle. The material in this work is organized in such as way as to illustrate how randomization tests are related to topics in parametric and traditional nonparametric statistics. The work extends the scope of applications by freeing tests from parametric assumptions without reducing data to ranks. This edition provides many new features, including more accessible terminology to clarify understanding, a current analysis of single-unit experiments as well as single-subject experiments, a discussion on how single-subject experiments relate to repeated-measures experiments and the use of randomized tests in single-patient research, and more.
Randomization Tests
Randomization Tests - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Randomization Tests write by Eugene S. Edgington. This book was released on 1981. Randomization Tests available in PDF, EPUB and Kindle.
Randomization, Bootstrap and Monte Carlo Methods in Biology
Randomization, Bootstrap and Monte Carlo Methods in Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Randomization, Bootstrap and Monte Carlo Methods in Biology write by Bryan F.J. Manly. This book was released on 2020-07-22. Randomization, Bootstrap and Monte Carlo Methods in Biology available in PDF, EPUB and Kindle. 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.
