Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this text discusses, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, such as robust inference and the use of the bootstrap in a multivariate setting. A minimum background expected of the reader would include at least two courses in mathematical statistics, and certainly some exposure to the calculus of several variables together with the descriptive geometry of linear algebra.
Theory of Multivariate Statistics
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Editorial Reviews
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"This is an excellent graduate level textbook with several challenging problems in the exercises. An outstanding feature of the book is the presentation style. The authors' presentations of core statistical ideas, important formulae, the scope and the limitations of the topics create a curiosity to continue reading. ... I enjoyed reading this book and learned a lot!"
Short Book Reviews, Vol. 20/2, August 2000
Short Book Reviews, Vol. 20/2, August 2000
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Inside This Book
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First Sentence:
Multivariate analysis deals with issues related to the observations of many, usually correlated, variables on units of a selected random sample. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Multivariate analysis deals with issues related to the observations of many, usually correlated, variables on units of a selected random sample. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Prove Proposition Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
43
books
cite this book:
See all 43 books citing this book
- Applied Multivariate Analysis by Neil H. Timm in Front Matter, and page
- Methods of Multivariate Statistics by Muni S. Srivastava in Back Matter
- Statistical Analysis of Financial Data in S-PLUS by Rene A. Carmona in Front Matter
- Modeling Longitudinal Data (Springer Texts in Statistics) by Robert E. Weiss in Front Matter
- Monte Carlo Statistical Methods (Springer Texts in Statistics) by Christian Robert in Front Matter
See all 43 books citing this book
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