Applied Linear Statistical Models

Applied Linear Statistical Models

by John Neter, William Wasserman
     
 
There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health,

Overview

There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.

Editorial Reviews

Booknews
A textbook for use in undergraduate or graduate courses in linear statistical models, and in second courses in applied statistics. Blends theory and applications, avoiding the extremes of presenting theory in isolation and of giving applications without theoretical foundation. Assumes an introductory course in statistical inference. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9780256024470
Publisher:
McGraw-Hill Higher Education
Publication date:
01/01/1988
Edition description:
2nd ed
Pages:
1127

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