An Introduction to Multivariate Statistical Analysis

T. W. Anderson

ISBN 10: 0471360910 / ISBN 13: 9780471360919

Published by Wiley & Sons, Wiley-Interscience, 2003

About this Item

Neuware - Perfected over three editions and more than forty years, this field- and classroom-tested reference:\* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.\* Treats all the basic and important topics in multivariate statistics.\* Adds two new chapters, along with a number of new sections.\* Provides the most methodical, up-to-date information on MV statistics available.

Seller Inventory # 9780471360919

Bibliographic Details

• Title: An Introduction to Multivariate Statistical Analysis
• Publisher: Wiley & Sons, Wiley-Interscience
• Publication Date: 2003
• Language: English
• ISBN 10: 0471360910
• ISBN 13: 9780471360919
• Binding: Buch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 243W x 194H x 36D millimeters 243 millimeters width by 194 millimeters height by 36 millimeters depth
• Weight: 1164 grams

About this title

Synopsis

Perfected over three editions and more than forty years, this field- and classroom-tested reference:
* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.
* Treats all the basic and important topics in multivariate statistics.
* Adds two new chapters, along with a number of new sections.
* Provides the most methodical, up-to-date information on MV statistics available.

About the Author

THEODORE W. ANDERSON, Professor Emeritus of Statistics and Economics at Stanford University, earned his PhD in mathematics at Princeton University. He is the author of The Statistical Analysis of Time Series, published by Wiley, as well as The New Statistical Analysis of Data and A Bibliography of Multivariate Statistical Analysis. Anderson is a member of the National Academy of Sciences and a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, the Econometric Society, and the American Academy of Arts and Sciences.