Applied Multivariate Statistical Analysis (Classic Version) (Paperback)

Richard Johnson

ISBN 10: 0134995392 / ISBN 13: 9780134995397

Published by Pearson Education (US), Upper Saddle River, 2018

About this Item

Paperback. For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9780134995397

Bibliographic Details

• Title: Applied Multivariate Statistical Analysis (Classic Version) (Paperback)
• Publisher: Pearson Education (US), Upper Saddle River
• Publication Date: 2018
• Language: English
• ISBN 10: 0134995392
• ISBN 13: 9780134995397
• Binding: Paperback
• Condition: new

About this title

Synopsis

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles.

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics.

 

Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.

About the Author

About our authors

Dean W. Wichern is Professor Emeritus at the Mays School of Business at Texas A&M University. He holds membership in the American Statistical Association, Royal Statistical Society, International Institute of Forecasters, and Institute for Operations Research and the Management Sciences. He is the author of 4 textbooks and was Associate Editor of Journal of Business and Economic Statistics from 1983-1991.

Professor Richard A. Johnson is Professor in the Department of Statistics at the University of Wisconsin. He is a Fellow of the Institute of Mathematical Statistics and the American Statistical Association and he is amember of the Royal Statistical Society and International Statistical Institute. He is the author of 6 textbooks and over 120 technical publications, and is the founding Editor of Statistics and Probability Letters (1981- ).