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001 ocn744560494;

003 OCoLC;

005 20141212053309.0;

008 110729s2011 cauab b 001 0 eng ;

010 a| 2011032017;

016 7 a| 0159040512| Uk;

019 a| 674694259;

020 a| 9781412972499 (pbk. : alk. paper);

020 a| 1412972493 (pbk. : alk. paper);

029 1 a| AU@b| 000047488932;

029 1 a| DEBBGb| BV039877965;

029 1 a| NZ1b| 14200187;

035 a| (Sirsi) o744560494;

035 a| (OCoLC)744560494z| (OCoLC)674694259;

042 a| pcc;

049 a| EREE;

050 00 a| HA31.35b| .H33 2011;

082 00 a| 519.5/352| 23;

084 a| MR 21002| rvk;

084 a| MR 22002| rvk;

100 1 a| Haase, Richard F.=| ^A1151015;

245 10 a| Multivariate general linear models /c| Richard F. Haase.;

300 a| vi, 216 pages :b| illustrations, maps ;c| 22 cm.;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

490 1 a| Quantitative applications in the social sciences ;v| no. 09-170;

504 a| Includes bibliographical references (p. 207-210) and index.;

505 0 a| Introduction and review of univariate general linear models -- Specifying the structure of multivariate general linear models -- Estimating the parameters of the multivariate general linear model -- Partitioning the SSCP, measures of strength of association, and test statistics -- Testing hypotheses in the multivariate general linear model -- Coding the design matrix and multivariate analysis of variance -- The eigenvalue solution ot the multivariate general linear model: canonical correlation and multivariate test statistics.;

520 a| "This book provides an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data and introduces multivariate linear model analysis as a generalization of the univariate model. Richard F. Haase focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy. The volume concludes with a discussion of canonical correlation analysis that is shown to subsume all the multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text with three running examples drawing from several disciples, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology."--pub. desc.;

650 0 a| Social sciencesx| Statistical methods.=| ^A4814;

650 0 a| Multivariate analysis.=| ^A9849;

650 0 a| Regression analysis.=| ^A1986;

830 0 a| Quantitative applications in the social sciences ;v| no. 09-170.=| ^A5424;

856 u| http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=024737151&line_number=0001&func_code=DB_RECORDS&service_type=MEDIAz| Inhaltsverzeichnis;

949 a| HA31.35 .H33 2011h| JOYNER48o| jmpli| 30372016187467;

938 a| YBP Library Servicesb| YANKn| 3519071;

938 a| Blackwell Book Serviceb| BBUSn| 3519071;

938 a| Coutts Information Servicesb| COUTn| 16267280;

938 a| Ingramb| INGRn| 9781412972499;

994 a| C0b| ERE;

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999 a| HA31.35 .H33 2011w| LCc| 1i| 30372016187467d| 9/28/2025e| 12/14/2017l| JGESm| JOYNERn| 1q| 1r| Ys| Yt| JGESBKu| 6/14/2013x| BOOKz| JSTACKSo| .STAFF. jmpl;

Multivariate general linear models / Richard F. Haase.

Author/creator	Haase, Richard F.
Format	Book
Publication Info	Thousand Oaks, Calif. : Sage, ©2011.
Description	vi, 216 pages : illustrations, maps ; 22 cm.
Subjects	Social sciences--Statistical methods. Multivariate analysis. Regression analysis.

Series	Quantitative applications in the social sciences ; no. 09-170 Quantitative applications in the social sciences ; no. 09-170. ^A5424
Contents	Introduction and review of univariate general linear models -- Specifying the structure of multivariate general linear models -- Estimating the parameters of the multivariate general linear model -- Partitioning the SSCP, measures of strength of association, and test statistics -- Testing hypotheses in the multivariate general linear model -- Coding the design matrix and multivariate analysis of variance -- The eigenvalue solution ot the multivariate general linear model: canonical correlation and multivariate test statistics.
Abstract	"This book provides an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data and introduces multivariate linear model analysis as a generalization of the univariate model. Richard F. Haase focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy. The volume concludes with a discussion of canonical correlation analysis that is shown to subsume all the multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text with three running examples drawing from several disciples, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology."--pub. desc.
Bibliography note	Includes bibliographical references (p. 207-210) and index.
LCCN	2011032017
ISBN	9781412972499 (pbk. : alk. paper)
ISBN	1412972493 (pbk. : alk. paper)

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Multivariate general linear models / Richard F. Haase.

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