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Bibliographic Details

Title: Applied Linear Statistical Models
Publisher: McGraw-Hill/Irwin
Publication Date: 2004
Language: English
ISBN 10: 007310874X
ISBN 13: 9780073108742
Binding: Hardcover
Edition: 5th or later Edition
Condition: good

About this title

Synopsis

Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling, analysis of variance, and the design of experiments. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text proceeds through linear and nonlinear regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, projects, and case studies are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and the use of automated software without loss of understanding.

About the Author

Michael H. Kutner is a professor at Emory University in Atlanta.

Chris J. Nachtsheim is a professor at the University of Minnesota at Minneapolis.

John Neter is a professor at the University of Georgia in Athens.

"About this title" may belong to another edition of this title.

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