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Regression and ANOVA: An Integrated Approach Using SAS Software
US $42.89
ApproximatelyEUR 37.72
Condition:
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections.
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Located in: Skokie, Illinois, United States
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Estimated between Fri, 9 May and Tue, 13 May
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eBay item number:335777780201
Item specifics
- Condition
- Release Year
- 2012
- Book Title
- Regression and ANOVA: An Integrated Approach Using SAS Software
- ISBN
- 9781580258906
About this product
Product Identifiers
Publisher
SAS Institute
ISBN-10
1580258905
ISBN-13
9781580258906
eBay Product ID (ePID)
2258314
Product Key Features
Number of Pages
578 Pages
Language
English
Publication Name
Regression and ANOVA : an Integrated Approach Using Sas Software
Publication Year
2004
Subject
Mathematical & Statistical Software, Probability & Statistics / Regression Analysis, Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2002-514452
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.536
Synopsis
Regression and ANOVA: An Integrated Approach Using SAS Software, by Keith Muller and Bethel Fetterman, provides a thorough and integrated treatment of multiple regression and ANOVA. The information it contains has served as the basis for a graduate-level biostatistics class at the University of North Carolina at Chapel Hill. The book focuses on the general linear model (GLM) theory, stated in matrix terms, which provides a more compact, clear, and unified presentation of regression and ANOVA than do traditional sums of squares and scalar equations. The book offers a balanced treatment of regression and ANOVA, yet is very compact. Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. The text includes almost no proofs, despite the presence of a large number of basic theoretical results. Many numerical examples are provided and include both the SAS code and equivalent mathematical representation needed to produce the outputs that are presented. All exercises involve only real data, collected in the course of scientific research. The book is divided into sections covering the following topics: basic theory; multiple regression; model building and evaluation; ANOVA; and ANCOVA.
LC Classification Number
QA278.2.M82 2002
Item description from the seller
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