Applied linear statistical models

Linear statistical models for regression, analysis of variance, and experimental design are widely used today in business administration, economics, engineering, and the social, health, and biological sciences. Successful applications of these models require a sound understanding of both the underly...

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Bibliographic Details
Other Authors: Neter, John
Format: Book Chapter
Published: Chicago Irwin 1996
Edition:Fourth Edition
Subjects:
Online Access:Click Here to View Status and Holdings.
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Summary:Linear statistical models for regression, analysis of variance, and experimental design are widely used today in business administration, economics, engineering, and the social, health, and biological sciences. Successful applications of these models require a sound understanding of both the underlying theory and the practical problems that are encountered in using the models in real-life situations. While Applied linear Statistical Models, Fifth Edition, is basically an applied book, it seeks to blend theory and applications effectively, avoiding the extremes of presenting theory in isolation and of giving elements of applications without the needed understanding of the theoretical foundations.
Item Description:Includes index
Physical Description:xv, 720 pages illustrations 27 cm. + 1 computer disk (3 1/2 in)
Format:System requirements for accompanying computer disk: IBM PC or 100% compatible; 640K RAM; DOS 3.1 or higher; any ASCII text editor
ISBN:0256117365