Multivariate statistics : high-dimensional and large-sample approximations /

A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of...

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Bibliographic Details
Main Author: Fujikoshi, Yasunori, 1942-
Other Authors: Ulyanov, Vladimir V., 1953-, Shimizu, Ryoichi, 1931-
Format: Electronic eBook
Language:English
Published: Hoboken, N.J. : Wiley, ©2010.
Series:Wiley series in probability and statistics.
Subjects:
Online Access: Full text (Emmanuel users only)
Description
Summary:A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic.
Physical Description:1 online resource (xviii, 533 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9780470539873
0470539879
9780470411698
0470411694
9780470539866
0470539860
1283246465
9781283246460
Access:Access restricted to Kwantlen Polytechnic University students, faculty and staff.
Source of Description, Etc. Note:Print version record.