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An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
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- More about An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA is a comprehensive reference for applied statisticians and data analysts, covering new statistical methodologies for deeper data analysis. It discusses key topics such as NP ANOVA, CMH methodology, Latin squares, balanced incomplete block designs, parametric ANOVA F tests, and nonparametric rank tests. The book is co-authored by an internationally recognised expert and an early career researcher, and provides worked examples with supporting R code.
Format: Hardback
Length: 240 pages
Publication date: 23 March 2023
Publisher: John Wiley and Sons Ltd
An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA is a comprehensive reference for applied statisticians and data analysts, covering the latest statistical methodologies enabling deeper data analysis. The book provides an introduction to nonparametrics, with worked examples and supporting R code for practical application. Key topics include NP ANOVA methodology, Cochran-Mantel-Haenszel (CMH) methodology and design, Latin squares and balanced incomplete block designs, parametric ANOVA F tests, nonparametric rank tests (Kruskal-Wallis and Friedman tests), and CMH MS tests for nonparametric analysis of categorical response data. Co-authored by an internationally renowned expert and an early career researcher with diverse skills, the book is valuable for statisticians, data analysts, students, and professors in data analysis.
An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
This comprehensive reference is designed for applied statisticians and data analysts, providing a thorough exploration of the latest statistical methodologies that empower deeper data analysis. The book delves into the realm of nonparametrics, offering applied statisticians a foundational understanding of this field. Through detailed worked examples accompanied by comprehensive R code, analysts gain practical tools to apply these methods to their own problems.
Key topics covered in the book include NP ANOVA methodology, Cochran-Mantel-Haenszel (CMH) methodology and design, Latin squares and balanced incomplete block designs, parametric ANOVA F tests, nonparametric rank tests (Kruskal-Wallis and Friedman tests), and CMH MS tests for nonparametric analysis of categorical response data. Authored by an internationally renowned expert and an early career researcher with diverse skills, including data analysis and R programming, this book offers a valuable resource for statisticians, data analysts, students, and professors in the field of data analysis.
By leveraging the power of these modern statistical methodologies, readers can unlock new insights and make informed decisions based on their data. An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA serves as a vital guide for those seeking to advance their knowledge and expertise in this rapidly evolving field.
Weight: 482g
Dimension: 158 x 236 x 20 (mm)
ISBN-13: 9781119831983
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