SAS Multivariate 2E - Brossura

Khattree, Ravindra

 
9780471322993: SAS Multivariate 2E
Brossura
ISBN 10: 0471322997 ISBN 13: 9780471322993
Casa editrice: John Wiley & Sons, 1999

Sinossi

Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS® Software, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on
* mixed effects models
* applications of the MIXED procedure
* regression diagnostics with the correspoding IML procedure code
* covariance structures.
The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding output accompany sample problems, and clear explanations of the various SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples. High-resolution graphs have been used in this new edition.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Ravindra Khattree is an Indian-American statistician and professor of statistics at Oakland University. His contribution to the Fountain-Khattree-Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. Dayanand N. Naik is the author of Applied Multivariate Statistics with SAS Software, 2nd Edition, published by Wiley.

Dalla quarta di copertina

Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS? Software, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on
* mixed effects models
* applications of the MIXED procedure
* regression diagnostics with the correspoding IML procedure code
* covariance structures.
The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding output accompany sample problems, and clear explanations of the various SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples. High-resolution graphs have been used in this new edition.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
John Wiley & Sons
Data di pubblicazione
1999
Lingua
Inglese
ISBN 10 
0471322997
ISBN 13 
9780471322993
Rilegatura
Copertina flessibile
Numero di pagine
364
Contatto del produttore
non disponibile
Persona responsabile
Nachyta Pederzini
0039 0516047011
n.pederzini@terminaldistribuzione.com

Via Bruno Buozzi, 24/26,
Granarolo dell'Emilia BO,
40057
Italia

Altre edizioni note dello stesso titolo

9781635269208: Applied Multivariate Statistics With SAS Software

Edizione in evidenza

ISBN 10:  1635269202 ISBN 13:  9781635269208
Casa editrice: Sas Inst, 2018
Rilegato