Applied multivariate data analysis /

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Bibliographic Details
Author / Creator:Jobson, J. D.
Imprint:New York : Springer-Verlag, c1991-1992.
Description:2 v. : ill. ; 25 cm.
Language:English
Series:Springer texts in statistics
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/1332292
Hidden Bibliographic Details
ISBN:0387976604 (v. 1 : Springer-Verlag New York Berlin Heidelberg : alk. paper)
3540976604 (v. 1 : Springer-Verlag Berlin Heidelberg New York : alk. paper)
Notes:Includes bibliographical references and indexes.
Description
Summary:An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
Physical Description:2 v. : ill. ; 25 cm.
Bibliography:Includes bibliographical references and indexes.
ISBN:0387976604
3540976604