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Author: Eugene Edgington
Publisher: CRC Press
ISBN: 9780824796693
Category : Mathematics
Languages : en
Pages : 444
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Book Description
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.
Author: Eugene Edgington
Publisher: CRC Press
ISBN: 9780824796693
Category : Mathematics
Languages : en
Pages : 444
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Book Description
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.
Author: Eugene Edgington
Publisher: CRC Press
ISBN: 1420011812
Category : Mathematics
Languages : en
Pages : 364
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Book Description
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.
Author: Eugene S. Edgington
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 310
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Book Description
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.
Author: Bryan F.J. Manly
Publisher: CRC Press
ISBN: 1000080501
Category : Mathematics
Languages : en
Pages : 359
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Book Description
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.
Author: Andrew L. Comrey
Publisher: Lulu.com
ISBN: 141166616X
Category : Mathematics
Languages : en
Pages : 189
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Book Description
A textbook oriented toward behavioral and social science students interested in data analysis. This book shows the reader how to do statistical analyses. It also gives examples and situations where a certain statistical test would be used.
Author: Kenneth J. Berry
Publisher: Springer Nature
ISBN: 3030743616
Category : Mathematics
Languages : en
Pages : 677
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Book Description
This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.
Author: Kenneth J. Berry
Publisher: Springer Science & Business Media
ISBN: 3319027441
Category : Mathematics
Languages : en
Pages : 535
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Book Description
The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods. Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative. Permutation analogs of many well-known statistical tests are presented in a historical context, including multiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels.
Author: Phillip Good
Publisher: Springer Science & Business Media
ISBN: 1475723466
Category : Mathematics
Languages : en
Pages : 238
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Book Description
A step-by-step guide to the application of permutation tests in biology, medicine, science, and engineering. The intuitive and informal style makes this manual ideally suitable for students and researchers approaching these methods for the first time. In particular, it shows how to handle the problems of missing and censored data, nonresponders, after-the-fact covariates, and outliers.
Author: Bryan F. J. Manly
Publisher: Chapman & Hall/CRC
ISBN: 9780367512873
Category :
Languages : en
Pages : 338
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Book Description
The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides comprehensive coverage of computer-intensive applications, with datasets available online.
Author: Cecil R. Reynolds
Publisher: John Wiley & Sons
ISBN: 1119520010
Category : Education
Languages : en
Pages : 942
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Book Description
The only comprehensive reference devoted to special education The highly acclaimed Encyclopedia of Special Education addresses issues of importance ranging from theory to practice and is a critical reference for researchers as well as those working in the special education field. This completely updated and comprehensive A-Z reference includes about 200 new entries, with increased attention given to those topics that have grown in importance since the publication of the third edition, such as technology, service delivery policies, international issues, neuropsychology, and RTI. The latest editions of assessment instruments frequently administered in special education settings are discussed. Only encyclopedia or comprehensive reference devoted to special education Edited and written by leading researchers and scholars in the field New edition includes over 200 more entries than previous edition, with increased attention given to those topics that have grown in importance since the publication of the third edition—such as technology, service delivery policies, international issues, neuropsychology, and Response to Intervention, Positive Behavioral Interventions and Supports (PBIS), Autism and Applied Behavior Analysis Entries will be updated to cover the latest editions of the assessment instruments frequently administered in special education settings Includes an international list of authors and descriptions of special education in 35 countries Includes technology and legal updates to reflect a rapidly changing environment Comprehensive and thoroughly up to date, this is the essential, A-Z compilation of authoritative information on the education of those with special needs.
