Two-part structure covers foundations and advanced models for thorough understanding
Detailed explanations of multivariate distributions, normal distribution, and Bayesian inference for solid statistical foundation
Applications in regression, ANOVA, principal components, factor analysis, and more for practical relevance
Includes multidimensional scaling and clustering techniques for modern data analysis
Appendix with answers to exercises for convenient self-testing
Summarized by Shop
Report copyright infringement by S. James Press (Author) Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to discussions of cont