An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
Aus der Reihe
Wiley Series in Probability and Statistics
-
- Englisch ausgewählt
Fr. 189.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
23.03.2023
Verlag
John Wiley & Sons IncSeitenzahl
240
Maße (L/B/H)
23.5/15.7/1.8 cm
Gewicht
482 g
Auflage
1. Auflage
Sprache
Englisch
ISBN
978-1-119-83198-3
An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
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.
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.
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