THE MATERIAL OF MULTIVARIATE ANALYSISExamples of Multivariate DataPreview of Multivariate MethodsThe Multivariate Normal DistributionComputer ProgramsGraphical MethodsChapter SummaryReferencesMATRIX ALGEBRAThe Need for Matrix AlgebraMatrices and VectorsOperations on MatricesMatrix InversionQuadratic
Multivariate Statistical Methods : A Primer, Third Edition
โ Scribed by Manly, Bryan F.J
- Publisher
- CRC Press
- Year
- 2004
- Tongue
- English
- Leaves
- 220
- Edition
- 3rd ed
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
THE MATERIAL OF MULTIVARIATE ANALYSISExamples of Multivariate DataPreview of Multivariate MethodsThe Multivariate Normal DistributionComputer ProgramsGraphical MethodsChapter SummaryReferencesMATRIX ALGEBRAThe Need for Matrix AlgebraMatrices and VectorsOperations on MatricesMatrix InversionQuadratic FormsEigenvalues and EigenvectorsVectors of Means and Covariance MatricesFurther Reading Chapter Read more...
Abstract:
โฆ Table of Contents
Content: Front Cover
Contents
Preface
Chapter 1: The material of multivariate analysis
Chapter 2: Matrix algebra
Chapter 3: Displaying multivariate data
Chapter 4: Tests of significance with multivariate data
Chapter 5: Measuring and testing multivariate distances
Chapter 6: Principal components analysis
Chapter 7: Factor analysis
Chapter 8: Discriminant function analysis
Chapter 9: Cluster analysis
Chapter 10: Canonical correlation analysis
Chapter 11: Multidimensional scaling
Chapter 12: Ordination
Chapter 13: Epilogue
Appendix Computer packages for multivariate analyses
Back Cover
โฆ Subjects
Multivariate analysis.
๐ SIMILAR VOLUMES
<P><STRONG>Multivariate Statistical Methods: A Primer</STRONG> provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and co
<strong>Multivariate Statistical Methods: A Primer</strong>provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concis
<P><STRONG>Multivariate Statistical Methods: A Primer</STRONG> provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and co
Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughou