Handbook of Multiple Comparisons

This book PDF is perfect for those who love Mathematics genre, written by Xinping Cui and published by Chapman and Hall/CRC which was released on 20 May 2024 with total hardcover pages 0. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Handbook of Multiple Comparisons books below.

Handbook of Multiple Comparisons

Author	: Xinping Cui
File Size	: 50,8 Mb
Publisher	: Chapman and Hall/CRC
Language	: English
Release Date	: 20 May 2024
ISBN	: 1032111550
Pages	: 0 pages

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Handbook of Multiple Comparisons by Xinping Cui Book PDF Summary

Treats the topics of multiple comparisons, simultaneous and selective inference from avariety of different perspectives. The need for a systematic treatment of the eld originates from the relevanceof multiple comparisons in many applications (medicine, industry, economics), and from the diversityof approaches and developments.

Handbook of Multiple Comparisons by Xinping Cui,Thorsten Dickhaus,Ying Ding,Jason C. Hsu

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Multiple Comparisons Using R by Frank Bretz,Torsten Hothorn,Peter Westfall

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.

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Handbook of Multiple Comparisons by Xinping Cui,Thorsten Dickhaus,Ying Ding,Jason C. Hsu

Written by experts that include originators of some key ideas, chapters in the Handbook of Multiple Testing cover multiple comparison problems big and small, with guidance toward error rate control and insights on how principles developed earlier can be applied to current and emerging problems. Some highlights of the coverages

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Multiple Comparisons by Jason Hsu

Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also

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Multiple Comparison Procedures by Larry E. Toothaker

If you conduct research with more than two groups and want to find out if they are significantly different when compared two at a time, then you need Multiple Comparison Procedures. Using examples to illustrate major concepts, this concise volume is your guide to multiple comparisons. Toothaker thoroughly explains such

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Multiple Comparison Procedures by Yosef Hochberg,Ajit C. Tamhane

Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the

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Pairwise Multiple Comparisons by Taka-aki Shiraishi,Hiroshi Sugiura,Shin-ichi Matsuda

This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models. It shows that (1) the multi-step procedures are more powerful than single-step procedures and the Ryan/Einot–

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Multiple Comparisons for Researchers by Larry E. Toothaker

Through clear exposition and step-by-step procedures, Toothaker describes all the most important multiple comparison procedures along with relevant concepts, such as error rate, power, robustness and coverage of two-way ANOVA including the controversy on cell mean versus tests on interaction effects. The book also includes samples of multiple comparison programs

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