9780256086010-025608601X-Applied Linear Regression Models

Applied Linear Regression Models

ISBN-13: 9780256086010
ISBN-10: 025608601X
Edition: 3
Author: Michael H. Kutner, William Wasserman, Christopher J. Nachtsheim, John Neter
Publication date: 1996
Publisher: McGraw-Hill/Irwin
Format: Hardcover 720 pages
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Book details

ISBN-13: 9780256086010
ISBN-10: 025608601X
Edition: 3
Author: Michael H. Kutner, William Wasserman, Christopher J. Nachtsheim, John Neter
Publication date: 1996
Publisher: McGraw-Hill/Irwin
Format: Hardcover 720 pages

Summary

Applied Linear Regression Models (ISBN-13: 9780256086010 and ISBN-10: 025608601X), written by authors Michael H. Kutner, William Wasserman, Christopher J. Nachtsheim, John Neter, was published by McGraw-Hill/Irwin in 1996. With an overall rating of 4.1 stars, it's a notable title among other Statistics (Education & Reference, Accounting, Operations Research, Processes & Infrastructure) books. You can easily purchase or rent Applied Linear Regression Models (Hardcover) from BooksRun, along with many other new and used Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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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