Principles of multivariate analysis : a user's perspective
Author(s)
Bibliographic Information
Principles of multivariate analysis : a user's perspective
（Oxford statistical science series, 3）
Clarendon Press , Oxford University Press, 1988
- : hard
- : pbk
Available at / 45 libraries
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Research Institute for Economics & Business Administration (RIEB) Library , Kobe University図書
: pbk.519.9-637s081000083282*
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Note
Bibliography: p. [544]-557
Includes index
Description and Table of Contents
- Volume
-
: hard ISBN 9780198522119
Description
This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for postgraduate students coming to the subject for the first time. The emphasis is problem-orientated and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections, which are not essential for a practical understanding of the techniques, are clearly indicated so that they may be skipped by the non-specialist. Recent developments concerning discrete and mixed variable techniques are presented as well as continuous variable techniques. This book offers a practical account of the subject for research workers in subjects as diverse as anthropology, education, industry, medicine and taxonomy.
Table of Contents
- Introduction. Part 1 Looking at multivariate data: Motivation and fundamental concepts
- one-way graphical representation of data matrices
- graphical methods for association or proximity matrices
- two-way graphical representation of data matrices
- analytical comparison of two or more graphical representations. Part 2 Samples, populations and models: Data inspection or data analysis
- distribution theory. Part 3 Analyzing ungrouped data: Estimation and hypothesis testing
- reduction of dimensionality - inferential aspects of descriptive methods
- discrete data. Part 4 Analyzing grouped data: Incorporating group structure - descriptive statistics
- inferential aspects - the two-group case
- inferential aspects - more than two groups. Part 5 Analyzing association among variables: Measuring and interpreting association
- exploiting observed associations - manifest-variable models
- explaining observed associations - latent-variable models. Conclusion - some general multivariate problems. Appendix - some basic matrix theory. References. Index.
- Volume
-
: pbk ISBN 9780198522300
Description
This introduction to the principles and methodology of modern multivariate statistical analysis has been written for the user and potential user of multivariate techniques as well as for postgraduate students coming to the subject for the first time. The approach is problem-orientated and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections which are not essential for a practical understanding of the techniques are clearly indicated so that they may be skipped by the non-specialist. Recent developments concerning discrete and mixed variable techniques are presented as well as continuous variable techniques, and other modern ideas are covered. Thus, this volume provides an up-to-date account of the subject for research workers in subjects as diverse as anthropology, education, industry, medicine, and taxonomy.
Table of Contents
- Looking at multivariate data
- Samples, populations, and models
- Analysing ungrouped data
- Analysing grouped data
- Analysing association among variables
- Appendix: some basic matrix theory
- References
- Index.
by "Nielsen BookData"
