Theory of Multivariate Statistics / Edition 1

Theory of Multivariate Statistics / Edition 1

by Martin Bilodeau, David Brenner, S. Fienberg, G. Casella
     
 

ISBN-10: 0387987398

ISBN-13: 9780387987392

Pub. Date: 08/01/1999

Publisher: Springer New York

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

Overview

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.

Product Details

ISBN-13:
9780387987392
Publisher:
Springer New York
Publication date:
08/01/1999
Series:
Springer Texts in Statistics Series
Edition description:
1999
Pages:
289
Product dimensions:
0.81(w) x 6.14(h) x 9.21(d)

Related Subjects

Table of Contents

Linear algebra.- Random vectors.- Gamma, Dirichlet, and F distributions.- Invariance.- Multivariate normal.- Multivariate sampling.- Wishart distributions.- Tests on mean and variance.- Multivariate regression.- Principal components.- Canonical correlations.- Asymptotic expansions.- Robustness.- Bootstrap confidence regions and tests.

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