Practical Multivariate Analysis, Sixth Edition (6th Ed.) Chapman & Hall/CRC Texts in Statistical Science Series
Auteurs : Afifi Abdelmonem, May Susanne, Donatello Robin, Clark Virginia A.
This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, and many new updates and references throughout. There are new examples using new datasets, and the exercises have been expanded. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians.
Part I: Preparation for Analysis. What is Multivariate Analysis? Characterizing Data for Analysis. Preparing for Data Analysis. Data Screening and Transformations. Data Visualization. Selecting Appropriate Analyses. Part II: Applied Regression Analysis. Simple Regression and Correlation. Multiple Regression and Correlation. Variable Selection in Regression. Special Regression Topics. Part III: Multivariate Analysis. Canonical Correlation Analysis. Discriminant Analysis. Logistic Regression. Regression Analysis with Survival Data. Principal Components Analysis. Factor Analysis. Cluster Analysis. Log-Linear Analysis. Correlated Outcomes Regression.
Date de parution : 11-2019
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