Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference (Dover Books on Mathematics)

Book Details:

• Publisher: Dover

• Author: S. James Press

• Language: English

• Binding: Paperback

• Edition: 2nd Edition

• ISBN: 9780486442365

• Number of Pages: 692

• Dimensions: 8.3 x 5.4 x 1.4 inches

• Release Date: 28-06-2005

About The Book:

"Applied Multivariate Analysis" (2nd Edition) by S. James Press is a comprehensive text designed for upper-level undergraduate and graduate students in statistics, as well as professionals and researchers in fields such as behavioral and social sciences. The book provides a thorough treatment of the foundations of multivariate analysis and its various models and applications.

The first part of the book starts with an overview of matrix theory, which is crucial for understanding multivariate statistics. It progresses into more advanced topics such as continuous multivariate distributions, the normal distribution, Bayesian inference, and large sample distributions. Key distributions like the Wishart distribution are explored in detail, along with basic multivariate statistics within the context of the normal distribution.

The second half of the book focuses on specific multivariate models and applications, making it highly practical for real-world data analysis. It includes topics such as regression analysis, the analysis of variance, principal components, factor analysis, canonical correlations, portfolio analysis, and classification models. It also delves into multidimensional scaling, clustering, and control in the multivariate linear model, all of which are key areas in applied multivariate statistics.

Key Features:

• Comprehensive Coverage: The book covers both foundational and advanced topics in multivariate analysis.

• Applications and Models: Focuses on practical applications of multivariate analysis in various fields, with an emphasis on modeling techniques such as factor analysis, regression, and classification models.

• Appendix with Answers: Includes an appendix with answers to exercises, making it suitable for self-study and enhancing learning.

• Ideal for Advanced Students: Targeted at upper-level undergraduate and graduate students, particularly those in statistics, behavioral, and social sciences.

Ideal for:

• Students in Statistics and Social Sciences: A key text for students studying multivariate statistics, especially in the social sciences and behavioral sciences.

• Researchers and Practitioners: Useful for professionals applying multivariate analysis in their research or work, particularly in social science, business, and psychology.

• Teachers and Educators: A valuable resource for educators in fields related to multivariate analysis and statistical modeling.

Conclusion:

"Applied Multivariate Analysis" by S. James Press provides a detailed and practical approach to multivariate statistics, combining theoretical foundations with real-world applications. With its emphasis on both mathematical concepts and statistical models, the text is ideal for those looking to understand and apply multivariate analysis in their studies or research. This second edition adds value with a new appendix of answers to exercises, enhancing its utility for both students and professionals.