Applied Multivariate Data Analysis - Regression and Experimental Design (Hardcover, 1st ed. 1991. Corr. 4th printing 1999)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	February 1999
First published:	1991
Authors:	J.D. Jobson
Dimensions:	235 x 155 x 34mm (L x W x T)
Format:	Hardcover
Pages:	622
Edition:	1st ed. 1991. Corr. 4th printing 1999
ISBN-13:	978-0-387-97660-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	0-387-97660-4
Barcode:	9780387976600

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