Permutation Tests

Author : Phillip Good
Publisher : Springer Science & Business Media
Page : 238 pages
File Size : 43,9 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475723465

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Permutation Tests by Phillip Good Pdf

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 : Dario Basso,Fortunato Pesarin,Luigi Salmaso,Aldo Solari
Publisher : Springer Science & Business Media
Page : 223 pages
File Size : 48,6 Mb
Release : 2009-04-20
Category : Mathematics
ISBN : 9780387859569

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Permutation Tests for Stochastic Ordering and ANOVA by Dario Basso,Fortunato Pesarin,Luigi Salmaso,Aldo Solari Pdf

Permutation testing for multivariate stochastic ordering and ANOVA designs is a fundamental issue in many scientific fields such as medicine, biology, pharmaceutical studies, engineering, economics, psychology, and social sciences. This book presents new advanced methods and related R codes to perform complex multivariate analyses. The prerequisites are a standard course in statistics and some background in multivariate analysis and R software.

Author : Fortunato Pesarin,Luigi Salmaso
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 52,8 Mb
Release : 2010-02-25
Category : Mathematics
ISBN : 0470689528

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Permutation Tests for Complex Data by Fortunato Pesarin,Luigi Salmaso Pdf

Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies. The Authors give a general overview on permutation tests with a focus on recent theoretical advances within univariate and multivariate complex permutation testing problems, this book brings the reader completely up to date with today’s current thinking. Key Features: Examines the most up-to-date methodologies of univariate and multivariate permutation testing. Includes extensive software codes in MATLAB, R and SAS, featuring worked examples, and uses real case studies from both experimental and observational studies. Includes a standalone free software NPC Test Release 10 with a graphical interface which allows practitioners from every scientific field to easily implement almost all complex testing procedures included in the book. Presents and discusses solutions to the most important and frequently encountered real problems in multivariate analyses. A supplementary website containing all of the data sets examined in the book along with ready to use software codes. Together with a wide set of application cases, the Authors present a thorough theory of permutation testing both with formal description and proofs, and analysing real case studies. Practitioners and researchers, working in different scientific fields such as engineering, biostatistics, psychology or medicine will benefit from this book.

Author : Phillip I. Good
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 50,8 Mb
Release : 2000
Category : Mathematics
ISBN : UOM:39015047872646

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Permutation Tests by Phillip I. Good Pdf

This book provides a step-by-step manual on the application of permutation tests in biology, business, medicine, science, and engineering. The first edition of this book is well known for its intuitive and informal style, and the inclusion of numerous real-world problems. This new edition has more than l00 additional pages, and includes streamlined statistics for the k-sample comparison and analysis of variance plus expanded sections on computational techniques, multiple comparisons, multiple regression, comparing variances, and testing interactions in balanced designs.

Author : LUIGI SALMASO,Chiara Brombin
Publisher : Springer Science & Business Media
Page : 95 pages
File Size : 49,6 Mb
Release : 2013-09-06
Category : Mathematics
ISBN : 9781461481638

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Permutation Tests in Shape Analysis by LUIGI SALMASO,Chiara Brombin Pdf

Statistical shape analysis is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, normal and pathological bone shapes, etc. Some of the important aspects of shape analysis are to obtain a measure of distance between shapes, to estimate average shapes from a (possibly random) sample and to estimate shape variability in a sample[1]. One of the main methods used is principal component analysis. Specific applications of shape analysis may be found in archaeology, architecture, biology, geography, geology, agriculture, genetics, medical imaging, security applications such as face recognition, entertainment industry (movies, games), computer-aided design and manufacturing. This is a proposal for a new Brief on statistical shape analysis and the various new parametric and non-parametric methods utilized to facilitate shape analysis. ​ ​

Author : Luigi Salmaso,Rosa Arboretti,Livio Corain,Dario Mazzaro
Publisher : Springer Science & Business Media
Page : 72 pages
File Size : 42,6 Mb
Release : 2011-07-09
Category : Medical
ISBN : 9783642205842

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Permutation Testing for Isotonic Inference on Association Studies in Genetics by Luigi Salmaso,Rosa Arboretti,Livio Corain,Dario Mazzaro Pdf

The purpose of this book is to illustrate a new statistical approach to test allelic association and genotype-specific effects in the genetic study of diseases. There are some parametric and non-parametric methods available for this purpose. We deal with population-based association studies, but comparisons with other methods will also be drawn, analysing the advantages and disadvantages of each one, particularly with regard to power properties with small sample sizes. In this framework we will work out some nonparametric statistical permutation tests and likelihood-based tests to perform case-control analyses to study allelic association between marker, disease-gene and environmental factors. Permutation tests, in particular, will be extended to multivariate and more complex studies, where we deal with several genes and several alleles together. Furthermore, we show simulations under different assumptions on the genetic model and analyse real data sets by simply studying one locus with the permutation test.

Author : Eugene Edgington
Publisher : CRC Press
Page : 444 pages
File Size : 51,7 Mb
Release : 1995-07-25
Category : Mathematics
ISBN : 0824796691

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Randomization Tests, Fourth Edition by Eugene Edgington Pdf

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 : Phillip Good
Publisher : Springer Science & Business Media
Page : 288 pages
File Size : 40,5 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9781475732351

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Permutation Tests by Phillip Good Pdf

A step-by-step manual on the application of permutation tests in biology, business, medicine, science, and engineering. Its intuitive and informal style make it ideal for students and researchers, whether experienced or coming to these resampling methods for the first time. The real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are all dealt with at length. This new edition has more than 100 additional pages, and includes streamlined statistics for the k-sample comparison and analysis of variance plus expanded sections on computational techniques, multiple comparisons, multiple regression, comparing variances, and testing interactions in balanced designs. The comprehensive author and subject indexes, plus an expert-system guide to methods, provide for further ease of use, while the exercises at the end of every chapter have been supplemented with drills and a number of graduate-level thesis problems.

Author : Kenneth J. Berry,Janis E. Johnston,Paul W. Mielke Jr.
Publisher : Springer Science & Business Media
Page : 517 pages
File Size : 45,7 Mb
Release : 2014-04-11
Category : Mathematics
ISBN : 9783319027449

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A Chronicle of Permutation Statistical Methods by Kenneth J. Berry,Janis E. Johnston,Paul W. Mielke Jr. Pdf

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 : Zbynek Sidak,Pranab K. Sen,Jaroslav Hajek
Publisher : Elsevier
Page : 453 pages
File Size : 55,6 Mb
Release : 1999-04-06
Category : Mathematics
ISBN : 9780080519104

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Theory of Rank Tests by Zbynek Sidak,Pranab K. Sen,Jaroslav Hajek Pdf

The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Asymptotic Methods Nonparametrics Convergence of Probability Measures Statistical Inference

Author : George C. Runger
Publisher : Unknown
Page : 250 pages
File Size : 44,8 Mb
Release : 1982
Category : Electronic
ISBN : MINN:31951001146755R

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Permutation Tests in Multivariate Analysis by George C. Runger Pdf

Author : Vance Berger
Publisher : CRC Press
Page : 301 pages
File Size : 50,9 Mb
Release : 2017-10-30
Category : Mathematics
ISBN : 9781315305097

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Randomization, Masking, and Allocation Concealment by Vance Berger Pdf

Randomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art randomization methods, and also wants to be able to describe these methods correctly. Far too often the subtle nuances that distinguish proper randomization from flawed randomization are completely ignored in trial reports that state only that randomization was used, with no additional information. Experience has shown that in many cases, the type of randomization that was used was flawed. It is only a matter of time before medical journals and regulatory agencies come to realize that we can no longer rely on (or publish) flawed trials, and that flawed randomization in and of itself disqualifies a trial from being robust or high quality, even if that trial is of high quality otherwise. This book will help to clarify the role randomization plays in ensuring internal validity, and in drawing valid inferences from the data. The various chapters cover a variety of randomization methods, and are not limited to the most common (and most flawed) ones. Readers will come away with a profound understanding of what constitutes a valid randomization procedure, so that they can distinguish the valid from the flawed among not only existing methods but also methods yet to be developed.

Author : Phillip I. Good
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 48,7 Mb
Release : 2006-01-27
Category : Mathematics
ISBN : 9780387271583

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Permutation, Parametric, and Bootstrap Tests of Hypotheses by Phillip I. Good Pdf

Previous edition sold over 1400 copies worldwide. This new edition includes many more real-world illustrations from biology, business, clinical trials, economics, geology, law, medicine, social science and engineering along with twice the number of exercises.

Author : Michael Greenacre
Publisher : CRC Press
Page : 327 pages
File Size : 44,5 Mb
Release : 2017-01-20
Category : Mathematics
ISBN : 9781498731782

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Correspondence Analysis in Practice by Michael Greenacre Pdf

Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more. Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.

Author : Richard E. Plant
Publisher : CRC Press
Page : 666 pages
File Size : 50,7 Mb
Release : 2018-12-07
Category : Science
ISBN : 9781351189903

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Spatial Data Analysis in Ecology and Agriculture Using R by Richard E. Plant Pdf

Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.