Applied multivariate statistical analysis
Author(s)
Bibliographic Information
Applied multivariate statistical analysis
Prentice Hall, c1998
4th ed
- : hbk
- : pbk
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Note
Includes bibliographical references and indexes
Description and Table of Contents
Description
This market leading text is appropriate for courses that teach statistical methods for describing and analyzing multivariate data in depts. of statistics, math, marketing, and in the biological, physical, and social sciences. The 4th edition makes more extensive use of SAS and SPSS output with an emphasis on interpretation. Features include additional exercises, data sets, and graphics to illustrate points. Various techniques such as MANOVA and Discriminate Analysis, Correspondence Analysis, and Biplots are integrated more thoroughly.
Table of Contents
*(NOTE: Each chapter begins with an Introduction, and concludes with Exercises and References)*I. GETTING STARTED*Aspects of Multivariate Analysis*Matrix Algebra and Random Vectors*Sample Geometry and Random Sampling*The Multivariate Normal Distribution*II. INFERENCES ABOUT MULTIVARIATE MEANS AND LINEAR MODELS*Inferences about a Mean Vector*Comparisons of Several Multivariate Means*Multivariate Linear Regression Models*III. ANALYSIS OF COVARIANCE STRUCTURE*Principal Components*Factor Analysis and Inference for Structured Covariance Matrices*Canonical Correlation Analysis*IV. CLASSIFICATION AND GROUPING TECHNIQUES*Discrimination and Classification*Clustering, Distance Methods and Ordination*Appendix*Data Index*Subject Index
by "Nielsen BookData"