Topics in Applied Multivariate Analysis

D. M. Hawkins

doi:10.1017/CBO9780511897375

Multivariate methods are employed widely in the analysis of experimental data but are poorly understood by those users who are not statisticians. This is because of the wide divergence between the theory and practice of multivariate methods. This book provides concise yet thorough surveys of developments in multivariate statistical analysis and gives statistically sound coverage of the subject. The contributors are all experienced in the theory and practice of multivariate methods and their aim has been to emphasize the major features from the point of view of applicability and to indicate the limitations and conditions of the techniques. Professional statisticians wanting to improve their background in applicable methods, users of high-level statistical methods wanting to improve their background in fundamentals, and graduate students of statistics will all find this volume of value and use.

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Topics in Applied Multivariate Analysis

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Contents

Frontmatter
pp i-ii

PREFACE
pp iii-iii

CONTRIBUTORS
pp iv-iv

Contents
pp v-xii

CHAPTER 1 - DISCRIMINANT ANALYSIS
pp 1-71

CHAPTER 2 - COVARIANCE STRUCTURES
pp 72-141

CHAPTER 3 - THE LOG-LINEAR MODEL AND ITS APPLICATION TO MULTIWAY CONTINGENCY TABLES
pp 142-182

CHAPTER 4 - SCALING A DATA MATRIX IN A LOW-DIMENSIONAL EUCLIDEAN SPACE
pp 183-268

CHAPTER 5 - AUTOMATIC INTERACTION DETECTION
pp 269-302

CHAPTER 6 - CLUSTER ANALYSIS
pp 303-356

INDEX
pp 357-362

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