An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
J. C. W. Rayner / G. C. Livingston
<b>An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA</b> <p><b>Complete reference for applied statisticians and data analysts that uniquely covers the new statistical methodologies that enable deeper data analysis</b> <p><i>An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA</i> 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. <p>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: <ul><li>NP ANOVA methodology</li> <li>Cochran-Mantel-Haenszel (CMH) methodology and design</li> <li>Latin squares and balanced incomplete block designs</li> <li>Parametric ANOVA F tests for continuous data</li> <li>Nonparametric rank tests (the Kruskal-Wallis and Friedman tests)</li> <li>CMH MS tests for the nonparametric analysis of categorical response data</li></ul> <p>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.
