An Introduction To Multivariate Statistical Analysis
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An Introduction To Multivariate Statistical Analysis
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Author : Theodore W. Anderson
language : en
Publisher:
Release Date : 1984-09-28
An Introduction To Multivariate Statistical Analysis written by Theodore W. Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-09-28 with Mathematics categories.
1. Introduction; 2. The multivariate normal distribution; 3. Estimation of the mean vector and the covariance matrix; 4. Distributions and uses of sample correlation coefficients; 5. The generalized T2-Statistic; 6. Classification of observations; 7. The distribution of the sample covariance matrix and the sample generalized variance; 8. Testing the general linear hypothesis; Multivariate analysis of variance; 9. Testing independence of sets of variates; 10. Testing hypothesis of equality of coariance matrices and equality of mean vectors and covariance matrices; 11. Principal components; 12. Canonical correlations and canonical variables; 13. The distributions of characteristic roots and vectors; 14. Factor analysis.
An Introduction To Multivariate Statistical Analysis
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Author : Theodore Wilbur Anderson
language : en
Publisher: John Wiley & Sons
Release Date : 1958
An Introduction To Multivariate Statistical Analysis written by Theodore Wilbur Anderson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1958 with Mathematical statistics categories.
The multivariate normal distribution; Estimation of the mean vector and the covariance matrix; The distributions and uses of sample correlation coefficients; The generalized T2 statistic; Classification of observations; The distribution of the sample covariance matrix and the sample generalized variance; Testing the general linear hypothesis; analysis of variance; Testing independence of sets of variates; Testing hypotheses of equality of covariance matrices and equality of mean vectors and covariance matrices; Principal components; Canonical correlation and canonical variables; The distribution of certain characteristic roots and vectors that do not depend on parameters; A review of some other work in multivariate analysis.
An Introduction To Multivariate Statistical Analysis 3rd Ed
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Author : Theodore W. Anderson
language : en
Publisher: John Wiley & Sons
Release Date : 2009
An Introduction To Multivariate Statistical Analysis 3rd Ed written by Theodore W. Anderson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Market_Desc: Designed primarily as a text for a two-semester course in multivariate statistics Special Features: · Incorporates the advice and comments of the readers of the first two editions as well as extensively classroom-tested techniques and calculations· Two new chapters have been added, along with a number of new sections· Updating has been methodically executed when and where appropriate.· An accompaning ftp provides tables and data· New exercises have been added throughout. About The Book: For more than four decades An Introduction to Multivariate Statistical Analysis has been an invaluable text for students and a resource for professionals wishing to acquire a basic knowledge of multivariate statistical analysis. Since the previous edition, the field has grown significantly. This updated and improved Third Edition familiarizes readers with these new advances, elucidating several aspects that are particularly relevant to methodology and comprehension.
An Introduction To Multivariate Statistical Analysis
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Author : T. W. Anderson
language : en
Publisher:
Release Date : 1972
An Introduction To Multivariate Statistical Analysis written by T. W. Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Statistics categories.
Introduction To Multivariate Statistical Analysis In Chemometrics
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Author : Kurt Varmuza
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Introduction To Multivariate Statistical Analysis In Chemometrics written by Kurt Varmuza and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Science categories.
Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as principal component analysis, regression analysis, classification methods, and clustering. Written by a chemometrician and a statistician, the book reflects the practical approach of chemometrics and the more formally oriented one of statistics. To enable a better understanding of the statistical methods, the authors apply them to real data examples from chemistry. They also examine results of the different methods, comparing traditional approaches with their robust counterparts. In addition, the authors use the freely available R package to implement methods, encouraging readers to go through the examples and adapt the procedures to their own problems. Focusing on the practicality of the methods and the validity of the results, this book offers concise mathematical descriptions of many multivariate methods and employs graphical schemes to visualize key concepts. It effectively imparts a basic understanding of how to apply statistical methods to multivariate scientific data.
An Introduction To Multivariate Statistical Analysis
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Author : Theodore W. Anderson
language : en
Publisher: Wiley-Interscience
Release Date : 2013-06-03
An Introduction To Multivariate Statistical Analysis written by Theodore W. Anderson and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-03 with Mathematics categories.
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.
Multivariate Statistical Analysis
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Author : Sam Kash Kachigan
language : en
Publisher:
Release Date : 1991
Multivariate Statistical Analysis written by Sam Kash Kachigan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Mathematics categories.
This classic book provides the much needed conceptual explanations of advanced computer-based multivariate data analysis techniques: correlation and regression analysis, factor analysis, discrimination analysis, cluster analysis, multi-dimensional scaling, perceptual mapping, and more. It closes the gap between spiraling technology and its intelligent application, fulfilling the potential of both.
Introduction To Multivariate Analysis
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Author : Chris Chatfield
language : en
Publisher: CRC Press
Release Date : 1981-05-15
Introduction To Multivariate Analysis written by Chris Chatfield and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981-05-15 with Mathematics categories.
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. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research, soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysi
Introduction To Multivariate Analysis
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Author : Chris Chatfield
language : en
Publisher: Routledge
Release Date : 2018-02-19
Introduction To Multivariate Analysis written by Chris Chatfield and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Mathematics categories.
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. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research,soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysis.
Statistical Analysis
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Author : Sam Kash Kachigan
language : en
Publisher:
Release Date : 1986
Statistical Analysis written by Sam Kash Kachigan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Business & Economics categories.
This classic book provides the much needed conceptual explanations of advanced computer-based multivariate data analysis techniques: correlation and regression analysis, factor analysis, discrimination analysis, cluster analysis, multi-dimensional scaling, perceptual mapping, and more. It closes the gap between spiraling technology and its intelligent application, fulfilling the potential of both.