Adaptive Tests Of Significance Using Permutations Of Residuals With R And Sas
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Adaptive Tests Of Significance Using Permutations Of Residuals With R And Sas
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Author : Thomas W. O'Gorman
language : en
Publisher: John Wiley & Sons
Release Date : 2012-03-13
Adaptive Tests Of Significance Using Permutations Of Residuals With R And Sas written by Thomas W. O'Gorman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-13 with Mathematics categories.
Provides the tools needed to successfully perform adaptive testsacross a broad range of datasets Adaptive Tests of Significance Using Permutations of Residualswith R and SAS illustrates the power of adaptive tests andshowcases their ability to adjust the testing method to suit aparticular set of data. The book utilizes state-of-the-art softwareto demonstrate the practicality and benefits for data analysis invarious fields of study. Beginning with an introduction, the book moves on to explore theunderlying concepts of adaptive tests, including: Smoothing methods and normalizing transformations Permutation tests with linear methods Applications of adaptive tests Multicenter and cross-over trials Analysis of repeated measures data Adaptive confidence intervals and estimates Throughout the book, numerous figures illustrate the keydifferences among traditional tests, nonparametric tests, andadaptive tests. R and SAS software packages are used to perform thediscussed techniques, and the accompanying datasets are availableon the book's related website. In addition, exercises at the end ofmost chapters enable readers to analyze the presented datasets byputting new concepts into practice. Adaptive Tests of Significance Using Permutations of Residualswith R and SAS is an insightful reference for professionals andresearchers working with statistical methods across a variety offields including the biosciences, pharmacology, and business. Thebook also serves as a valuable supplement for courses on regressionanalysis and adaptive analysis at the upper-undergraduate andgraduate levels.
Permutation Tests For Complex Data
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Author : Luigi Salmaso
language : en
Publisher: John Wiley & Sons
Release Date : 2025-09-09
Permutation Tests For Complex Data written by Luigi Salmaso and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-09 with Mathematics categories.
Timely update of a popular edition on permutation testing with numerous case studies included throughout The newly revised and updated Second Edition of Permutation Tests for Complex Data describes permutation tests from the point of view of experimental design, with methodological details and illustrating the process of devising an appropriate permutation test through case studies. In addition to the text, this book includes two open source packages for permutation tests in Python and R which include a comprehensive code base to implement common permutation tests as well as code to implement each of the book's case studies. The focus of this book is the permutation approach to a variety of univariate and multivariate problems of hypothesis testing in a typical nonparametric framework. The book examines the most up-to-date methodologies of univariate and multivariate permutation testing, includes real case studies from both experimental and observational studies, and presents and discusses solutions to the most important and frequently encountered real problems in multivariate analyses. Written by two highly qualified authors in the field of nonparametrics and applied statistics, Permutation Tests for Complex Data includes information on sample topics including: Theory of one-dimensional and multi-dimensional permutation tests, covering test statistics, arguments for selecting permutation tests, and examples of one-sample and multi-sample problems Multiplicity control and closed testing, covering raw and adjusted p-values, the MinP Bonferroni-Holm procedure, and weighted methods for controlling FWE and FDR Multivariate categorical variables, covering stochastic ordering, tests on moments for ordered variables, and heterogeneity comparisons NPC tests for survival analysis and shape analysis, covering analysis of PERC data and analysis with correlated landmarks Presenting a thorough overview of permutation testing with both formal description and proofs, Permutation Tests for Complex Data is an excellent introduction to permutation tests for graduate-level statistics or data science courses and will be ideal as a handbook for researchers hoping to use the open source code.
Robustness Theory And Application
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Author : Brenton R. Clarke
language : en
Publisher: John Wiley & Sons
Release Date : 2018-07-11
Robustness Theory And Application written by Brenton R. Clarke and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-11 with Mathematics categories.
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets—available both in the text and online—are employed wherever appropriate. Providing invaluable insights and guidance, Robustness Theory and Application: Offers a balanced presentation of theory and applications within each topic-specific discussion Features solved examples throughout which help clarify complex and/or difficult concepts Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology Delves into new methodologies which have been developed over the past decade without stinting on coverage of “tried-and-true” methodologies Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness.
Adaptive Tests Of Significance Using Permutations Of Residuals With R And Sas
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Author : Thomas W. O'Gorman
language : en
Publisher: John Wiley & Sons
Release Date : 2012-03-13
Adaptive Tests Of Significance Using Permutations Of Residuals With R And Sas written by Thomas W. O'Gorman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-13 with Mathematics categories.
Provides the tools needed to successfully perform adaptive tests across a broad range of datasets Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book utilizes state-of-the-art software to demonstrate the practicality and benefits for data analysis in various fields of study. Beginning with an introduction, the book moves on to explore the underlying concepts of adaptive tests, including: Smoothing methods and normalizing transformations Permutation tests with linear methods Applications of adaptive tests Multicenter and cross-over trials Analysis of repeated measures data Adaptive confidence intervals and estimates Throughout the book, numerous figures illustrate the key differences among traditional tests, nonparametric tests, and adaptive tests. R and SAS software packages are used to perform the discussed techniques, and the accompanying datasets are available on the book's related website. In addition, exercises at the end of most chapters enable readers to analyze the presented datasets by putting new concepts into practice. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS is an insightful reference for professionals and researchers working with statistical methods across a variety of fields including the biosciences, pharmacology, and business. The book also serves as a valuable supplement for courses on regression analysis and adaptive analysis at the upper-undergraduate and graduate levels.
R
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Author : Сергей Мастицкий
language : ru
Publisher: Litres
Release Date : 2022-01-29
R written by Сергей Мастицкий and has been published by Litres this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-29 with Computers categories.
Сегодня язык R является безусловным лидером среди свободно распространяемых систем статистического анализа. Ведущие университеты мира, аналитики крупнейших компаний и исследовательских центров регулярно используют R при проведении научно-технических расчетов и создании крупных информационных проектов. Широкое преподавание статистики на базе этой системы и всемерная поддержка научным сообществом обусловили то, что приведение скриптов кода на языке R постепенно становится общепризнанным стандартом как в журнальных публикациях, так и при неформальном общении ученых всего мира. Настоящая книга дополняет небольшую (пока) коллекцию работ по R на русском языке, обобщая и значительно расширяя совокупность методических сообщений, опубликованных ранее одним из авторов в блоге «R: Анализ и визуализация данных» (http://r-analytics.blogspot.com).Книга адресована студентам, аспирантам, а также молодым и состоявшимся ученым, желающим освоить классические и современные методы анализа данных с использованием языка R.
Plant Pathogen Life History Traits And Adaptation To Environmental Constraints
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Author : Christophe Le May
language : en
Publisher: Frontiers Media SA
Release Date : 2020-03-03
Plant Pathogen Life History Traits And Adaptation To Environmental Constraints written by Christophe Le May and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with categories.
Permutation Methods
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Author : Paul W. Mielke
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-29
Permutation Methods written by Paul W. Mielke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-29 with Mathematics categories.
Most commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics. This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses. In addition to permutation techniques described in the first edition, this second edition also contains various new permutation statistical methods and studies that include resampling multiple contingency table analyses, analysis concerns involving log-linear models with small samples, an exact discrete analog of Fisher’s continuous method for combining P-values that arise from small data sets, multiple dichotomous response analyses, problems regarding Fisher’s Z transformation for correlation analyses, and multivariate similarity comparisons between corresponding multiple categories of two samples.
Problem Solving And Data Analysis Using Minitab
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Author : Rehman M. Khan
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-28
Problem Solving And Data Analysis Using Minitab written by Rehman M. Khan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-28 with Mathematics categories.
Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.
Current Index To Statistics Applications Methods And Theory
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Author :
language : en
Publisher:
Release Date : 1992
Current Index To Statistics Applications Methods And Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematical statistics categories.
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Statistical Analysis And Data Display
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Author : Richard M. Heiberger
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Statistical Analysis And Data Display written by Richard M. Heiberger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Mathematics categories.
1 Audience Students seeking master's degrees in applied statistics in the late 1960s and 1970s typically took a year-long sequence in statistical methods. Popular choices of the course text book in that period prior to the availability of high speed computing and graphics capability were those authored by Snedecor and Cochran, and Steel and Torrie. By 1980, the topical coverage in these classics failed to include a great many new and important elementary techniques in the data analyst's toolkit. In order to teach the statistical methods sequence with adequate coverage of topics, it became necessary to draw material from each of four or five text sources. Obviously, such a situation makes life difficult for both students and instructors. In addition, statistics students need to become proficient with at least one high-quality statistical software package. This book can serve as a standalone text for a contemporary year-long course in statistical methods at a level appropriate for statistics majors at the master's level or other quantitatively oriented disciplines at the doctoral level. The topics include both concepts and techniques developed many years ago and a variety of newer tools not commonly found in textbooks.