Share

A First Course in Multivariate Statistics

2013-03-09 Mathematics
Download A First Course in Multivariate Statistics PDF Online Free

Author :
Release : 2013-03-09
Genre : Mathematics
Kind : eBook
Book Rating : 658/5 ( reviews)

GET EBOOK


Book Synopsis A First Course in Multivariate Statistics by : Bernard Flury

Download or read book A First Course in Multivariate Statistics written by Bernard Flury. This book was released on 2013-03-09. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and self-contained introduction to the field, carefully balancing mathematical theory and practical applications. It starts at an elementary level, developing concepts of multivariate distributions from first principles. After a chapter on the multivariate normal distribution reviewing the classical parametric theory, methods of estimation are explored using the plug-in principles as well as maximum likelihood. Two chapters on discrimination and classification, including logistic regression, form the core of the book, followed by methods of testing hypotheses developed from heuristic principles, likelihood ratio tests and permutation tests. Finally, the powerful self-consistency principle is used to introduce principal components as a method of approximation, rounded off by a chapter on finite mixture analysis.

Multivariate Statistical Methods

2014-01-14 Psychology
Download Multivariate Statistical Methods PDF Online Free

Author :
Release : 2014-01-14
Genre : Psychology
Kind : eBook
Book Rating : 553/5 ( reviews)

GET EBOOK


Book Synopsis Multivariate Statistical Methods by : George A. Marcoulides

Download or read book Multivariate Statistical Methods written by George A. Marcoulides. This book was released on 2014-01-14. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples--drawing on SAS software --are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis. Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.

Multivariate Statistical Methods

2016-11-03 Mathematics
Download Multivariate Statistical Methods PDF Online Free

Author :
Release : 2016-11-03
Genre : Mathematics
Kind : eBook
Book Rating : 995/5 ( reviews)

GET EBOOK


Book Synopsis Multivariate Statistical Methods by : Bryan F.J. Manly

Download or read book Multivariate Statistical Methods written by Bryan F.J. Manly. This book was released on 2016-11-03. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Statistical Methods: A Primer 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 concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used. The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.

Multivariate Statistical Methods

2014-01-14 Psychology
Download Multivariate Statistical Methods PDF Online Free

Author :
Release : 2014-01-14
Genre : Psychology
Kind : eBook
Book Rating : 545/5 ( reviews)

GET EBOOK


Book Synopsis Multivariate Statistical Methods by : George A. Marcoulides

Download or read book Multivariate Statistical Methods written by George A. Marcoulides. This book was released on 2014-01-14. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples--drawing on SAS software --are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis. Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.

Methods of Multivariate Statistics

2002-07-08 Mathematics
Download Methods of Multivariate Statistics PDF Online Free

Author :
Release : 2002-07-08
Genre : Mathematics
Kind : eBook
Book Rating : 816/5 ( reviews)

GET EBOOK


Book Synopsis Methods of Multivariate Statistics by : Muni S. Srivastava

Download or read book Methods of Multivariate Statistics written by Muni S. Srivastava. This book was released on 2002-07-08. Available in PDF, EPUB and Kindle. Book excerpt: Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the availability of computer packages such as S-plus and SAS, multivariate methods once too complex to tackle are now within reach of most researchers and data analysts. With an emphasis on computing techniques in combination with a full understanding of the mathematics behind the methods, Methods of Multivariate Statistics offers an up-to-date account of multivariate methods. Focusing on the maximum likelihood method for estimation, testing of hypotheses, and "profile analysis," this book offers comprehensive discussions of commonly encountered multivariate data and also covers some practical and important problems lacking in other texts. These include: * Missing at-random observations * "Growth Curve Models" and multivariate one-sided tests applicable in pharmaceutical and medical trials * Bootstrap methods * Principal component method for predicting a multivariate response vector * Outlier detection and handling inference when covariance is singular With clear chapter introductions and numerous problem sets, Methods of Multivariate Statistics meets every statistician's need for a comprehensive investigation of the latest methods in multivariate statistics.

You may also like...