An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
Language: English
Published by John Wiley and Sons Inc, US, 2023
Series: Book 339 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 119.02
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Seller Inventory # LU-9781119831983
- Title
- An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
- Author
- J. C. W. Rayner, G. C. Livingston, Jr.
- Publisher
- John Wiley and Sons Inc, US
- Publication year
- 2023
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1119831989
- ISBN 13
- 9781119831983
- Item weight
- 484 grams
- Series
- Book 339 of 358: Wiley Series in Probability and Statistics
Complete reference for applied statisticians and data analysts that uniquely covers the new statistical methodologies that enable deeper data analysis
An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA provides readers with powerful new statistical methodologies that enable deeper data analysis. The book offers applied statisticians an introduction to the latest topics in nonparametrics. The worked examples with supporting R code provide analysts the tools they need to apply these methods to their own problems.
Co-authored by an internationally recognised expert in the field and an early career researcher with broad skills including data analysis and R programming, the book discusses key topics such as:
- NP ANOVA methodology
- Cochran-Mantel-Haenszel (CMH) methodology and design
- Latin squares and balanced incomplete block designs
- Parametric ANOVA F tests for continuous data
- Nonparametric rank tests (the Kruskal-Wallis and Friedman tests)
- CMH MS tests for the nonparametric analysis of categorical response data
Applied statisticians and data analysts, as well as students and professors in data analysis, can use this book to gain a complete understanding of the modern statistical methodologies that are allowing for deeper data analysis.
"Synopsis" may belong to another edition of this title.
About the Author
John Charles William Rayner is an Honorary Professorial Fellow, National Institute for Applied Statistics Research Australia, University of Wollongong, and Conjoint Professor of Statistics, School of Mathematical and Physical Sciences, University of Newcastle, Australia.
Glen Livingston, Jr., is a Lecturer, School of Mathematical and Physical Sciences, University of Newcastle, Australia.
"About the title" may belong to another edition of this title.
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