1. Introduction

  1. Alvin C. Rencher

Published Online: 27 MAR 2003

DOI: 10.1002/0471271357.ch1

Methods of Multivariate Analysis, Second Edition

Methods of Multivariate Analysis, Second Edition

How to Cite

Rencher, A. C. (2002) Introduction, in Methods of Multivariate Analysis, Second Edition, John Wiley & Sons, Inc., New York, NY, USA. doi: 10.1002/0471271357.ch1

Author Information

  1. Brigham Young University, USA

Publication History

  1. Published Online: 27 MAR 2003
  2. Published Print: 22 FEB 2002

ISBN Information

Print ISBN: 9780471418894

Online ISBN: 9780471271352

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Keywords:

  • multivariate analysis;
  • variables;
  • observations;
  • measurement scale;
  • descriptive statistics;
  • inferential statistics

Summary

This is a brief introductory chapter. Various types of multivariate data are described and illustrated. Some sources of multivariate data are the sciences, humanities, business, medical fields, etc. Most multivariate data sets involve correlated variables, for which there are many useful multivariate exploratory techniques as well as inferential procedures. Many multivariate techniques are extensions of univariate procedures. The univariate procedures are reviewed in the text. Other multivariate techniques have no univariate analog.

The objectives for the readers of the book are (1) understand the details of various multivariate techniques, (2) be able to select one or more multivariate procedures for a given multivariate data set, and (3) interpret the results of a computer analysis of a multivariate data set. Various types of data and accompanying analyses are described. Throughout the book there are many examples and problems involving real data sets. Answers to most problems are provided in Appendix B.