Reviews:
'I enjoyed reading this book and highly recommend it.' Technometrics
'Very clear and well-written...Comprehensive and topical
exposition of multivariate analysis...Highly recommended.'
Mathematics Today
'Every author would be honored to be asked to update Kendall's
Advanced Theory of Statistics ... covering an enormous amount
of material, it is a pleasure to read ... a huge number of
pertinent references ... an invaluable bibliography.' Journal
of Classification
'A comprehensive and topical exposition of multivariate analysis...Highly
recommended.' Journal de Chirurgie
Key Features:
- Focuses on the fundamental techniques of multivariate
analysis
- Includes a comprehensive chapter on distribution theory
- Readable and user-friendly presentation.
Description:
As a common and important statistical technique, multivariate
analysis has applications in a wide range of fields of study
including subjects as diverse as biology and linguistics.
This book is the first in a two-volume overview which provides
comprehensive coverage of all the available techniques for
analysing data in this form.
This volume on distributions, ordination and inference, concentrates
on what might be termed the 'basic' techniques. The treatment
is up-to-date and covers topics not normally found in general
purpose texts. While full technical details are supplied,
the emphasis throughout is on a readable and 'user-friendly'
presentation with ample use of illustrative exercises.
The companion volume, Part 2, concentrates
on the more specialised techniques that follow on from the
basic theory.
Readership:
Graduate statisticians and researchers.
Contents:
Preface
1. Introduction
2. Multivariate distributions
3. Initial data analysis
4. Projections and linear transformations
5. Distance methods and ordination
6. Inference: estimations and hypothesis testing
7. Multivariate linear models
8. Non-linear methods
Appendix A: Normal theory sampling distributions
References
Author index
Subject index
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