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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.
An Introduction to Multivariate Statistical Analysis
Language: en
Pages: 752
Authors: Theodore W. Anderson
Categories: Mathematics
Type: BOOK - Published: 2003-07-25 - Publisher: Wiley-Interscience

Perfected over three editions and more than forty years, thisfield- and classroom-tested reference: * Uses the method of maximum likelihood to a large extent to ensurereasonable, and in some cases optimal procedures. * Treats all the basic and important topics in multivariatestatistics. * Adds two new chapters, along with a
An Introduction to Applied Multivariate Analysis with R
Language: en
Pages: 274
Authors: Brian Everitt, Torsten Hothorn
Categories: Mathematics
Type: BOOK - Published: 2011-05-03 - Publisher: Springer

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few
An Introduction to Applied Multivariate Analysis
Language: en
Pages: 496
Authors: Tenko Raykov, George A. Marcoulides
Categories: Business & Economics
Type: BOOK - Published: 2008-03-10 - Publisher: Routledge

This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe
Introduction to Multivariate Analysis
Language: en
Pages: 248
Authors: Chris Chatfield
Categories: Mathematics
Type: BOOK - Published: 2018-02-19 - Publisher: Routledge

This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis,traditional normal theory material, as well as multidimensional scaling andcluster analysis.Introduction to Multivariate Analysis provides a reasonable blend oftheory and practice.
Matrix-Based Introduction to Multivariate Data Analysis
Language: en
Pages: 301
Authors: Kohei Adachi
Categories: Mathematics
Type: BOOK - Published: 2016-10-11 - Publisher: Springer

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 the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author