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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:
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.
Author: J. C. W. Rayner, G. C. Livingston
ISBN-10: 1119831989
ISBN-13: 9781119831983
Publisher: Wiley
Language: English
Published: 02/13/2023
Pages: 240
Format: Hardcover
Weight: 1.09lbs
Size: 9.00h x 6.00w x 0.56d
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.
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