Multivariate Data Analysis

Multivariate Data Analysis
Author: Joseph Hair
Publisher: Pearson Higher Ed
Total Pages: 816
Release: 2016-08-18
Genre: Business & Economics
ISBN: 0133792684

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.


Multivariate Data Analysis
Language: en
Pages: 816
Authors: Joseph Hair
Categories: Business & Economics
Type: BOOK - Published: 2016-08-18 - Publisher: Pearson Higher Ed

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For
Essentials of Multivariate Data Analysis
Language: en
Pages: 186
Authors: Neil H. Spencer
Categories: Mathematics
Type: BOOK - Published: 2013-12-17 - Publisher: CRC Press

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Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and res
Multivariate Data Analysis
Language: en
Pages: 622
Authors: Kim H. Esbensen
Categories: Experimental design
Type: BOOK - Published: 2002 - Publisher: Multivariate Data Analysis

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"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to prov
Matrix-Based Introduction to Multivariate Data Analysis
Language: en
Pages: 298
Authors: Kohei Adachi
Categories: Mathematics
Type: BOOK - Published: 2016-10-11 - Publisher: Springer

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This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of
An Introduction to Applied Multivariate Analysis with R
Language: en
Pages: 284
Authors: Brian Everitt
Categories: Mathematics
Type: BOOK - Published: 2011-04-23 - Publisher: Springer Science & Business Media

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The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken