Applied linear statistical models : regression, analysis of variance, and experimental designs /

By:

Neter, John

Contributor(s):

Wasserman, William

Material type: Text

TextPublication details: Homewood, Ill. : R. D. Irwin, c1974.Description: xvii, 842 p. :illISBN:

0256014981

Subject(s):

DDC classification:

519.5'36 NET

LOC classification:

QA278.2 .N47

Summary: This extensive book on linear statistical models presents a leisurely treatment of a limited range of topics at an elementary level. The treatment is methodological with little formal proof, or demonstration, of the properties of the methods which are described and illustrated. After a brief introductory chapter on "Some basic results in probability and statistics" the book consists of 23 further chapters divided into five Parts entitled: I. Basic Regression Analysis. II. General Regression and Correlation Analysis. III. Basic Analysis of Variance. IV. Multifactor Analysis of Variance. V. Experimental Designs.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Monograph & others	CBN HQ Library General Stacks	Non-fiction	519.5'36 NET (Browse shelf(Opens below))	c.3	Available	31008100174081
Monograph & others	CBN HQ Library General Stacks	Non-fiction	519.5'36 NET (Browse shelf(Opens below))	c.1	Available	31008100021415
Monograph & others	CBN HQ Library General Stacks	Non-fiction	519.5'36 NET (Browse shelf(Opens below))	c.2	Available	31008100021563

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Includes bibliographical references and index.

This extensive book on linear statistical models presents a leisurely treatment of a limited range of topics at an elementary level. The treatment is methodological with little formal proof, or demonstration, of the properties of the methods which are described and illustrated. After a brief introductory chapter on "Some basic results in probability and statistics" the book consists of 23 further chapters divided into five Parts entitled: I. Basic Regression Analysis. II. General Regression and Correlation Analysis. III. Basic Analysis of Variance. IV. Multifactor Analysis of Variance. V. Experimental Designs.

rpm 26/07/2018

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