Applied linear regression models

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Irwin, 1989 - Mathematics - 667 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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Review: Applied Linear Regression Models- 4th Edition with Student CD (McGraw Hill/Irwin Series: Operations and Decision Sciences)

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Pretty clear - does a really decent job of introducing the concepts of regression and presenting the most important proof concepts without giving too much detail for an applied book. Lots of good problems to work through. Read full review


Some Basic Results in Probability and Statistics
Populations 7
Inferences in Regression Analysis

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About the author (1989)

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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