Applied Linear Regression Models, Volume 1

Front Cover
John Neter
Irwin, Jan 1, 1996 - Business & Economics - 720 pages
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Applied Linear Regression Models was listed in the newsletter of the Decision Sciences Institute as a classic in its field and a text that should be on every member's shelf. The third edition continues this tradition. It is a successful blend of theory and application. The authors have taken an applied approach, and emphasize understanding concepts; this text demonstrates their approach trough worked-out examples. Sufficient theory is provided so that applications of regression analysis can be carried out with understanding. John Neter is past president of the Decision Science Institute, and Michael Kutner is a top statistician in the health and life sciences area. Applied Linear Regression Models should be sold into the one-term course that focuses on regression models and applications. This is likely to be required for undergraduate and graduate students majoring in allied health, business, economics, and life sciences.

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Contents

Inferences in Regression Analysis
44
Diagnostics and Remedial Measures
95
Simultaneous Inferences and Other Topics
152
Copyright

13 other sections not shown

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About the author (1996)

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

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

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

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