Principles of multivariate analysis : a user's perspective
著者
書誌事項
Principles of multivariate analysis : a user's perspective
（Oxford statistical science series, 22）
Oxford University Press, 2000
Rev. ed
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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 students coming to the subject for the first time. The author's emphasis is problem-orientated and he is at pains to stress geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for a practical understanding of the
techniques are clearly indicated so that they may be skipped by the non-specialist. Discrete and mixed variable techniques are presented as well as continuous variable techniques to give a comprehensive coverage of the subject. This updated edition includes a new appendix which traces developments
that have taken place in the years since the publication of the first edition and which clarifies some issues raised by readers of the original text. References to about 60 recent books and articles supplement the material in this appendix. Overall, this volume provides an up-to-date and readable practical account of the subject, both for students of statistics and for research workers in subjects as diverse as anthropology, education, industry, medicine and taxonomy. The new edition
includes a survey of the most recent developments in the subject.
目次
- Part I: Looking at multivariate data
- Part II: Samples, populations, and models
- Part III: Analysing ungrouped data
- Part IV: Analysing grouped data
- Part V: Analysing association among variables
- Appendix: some basic matrix theory
- A1 Definitions
- A2 Elementary arithmetic operations
- A3 Determinants and inverses
- A4 Quadratic forms
- A5 Latent roots and vectors
- A6 Matrix square root
- A7 Partitioned matrices
- A8 Vector differentiation
- References
- Index
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