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

Kutner, Michael; Nachtsheim, Christopher; Neter, John

ISBN 10: 0073014664 / ISBN 13: 9780073014661

Published by McGraw Hill, 2004

About this Item

LIGHTNING FAST SHIPPING! A heavily used, but still working copy. Coffee stain and wrinkling to the edge of the pages when a tired undergrad fell asleep and knocked their cup over on their books. The binding and pages of the book have been reinforced with tape, has tape and stickers on the cover, as well as lots of notes (some of the answers in the learning activities may be filled in) on the pages. Definitely not pretty, but it's a working copy at a great price that ships fast. ~ Book does NOT contain an access code or CD/DVD.

Seller Inventory # #22C-00080

Bibliographic Details

• Title: Applied Linear Regression Models- 4th Edition with Student CD (McGraw Hill/Irwin Series: Operations and Decision Sciences)
• Publisher: McGraw Hill
• Publication Date: 2004
• Language: English
• ISBN 10: 0073014664
• ISBN 13: 9780073014661
• Edition: 4th Edition
• Condition: Acceptable

About this title

Synopsis

Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. 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, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor.

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