Regression Analysis,
Edition 2
By Rudolf J. Freund, William J. Wilson and Ping Sa
Publication Date:
27 Mar 2006
Description
Regression Analysis provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design.
Key Features
- Examples and exercises contain real data and graphical illustration for ease of interpretation
- Outputs from SAS 7, SPSS 7, Excel, and Minitab are used for illustration, but any major statisticalsoftware package will work equally well
About the author
By Rudolf J. Freund, Texas A&M University, USA; William J. Wilson, University of North Florida, Jacksonville, FL, USA and Ping Sa, University of North Florida
Book details
ISBN:
9780120885978
Page Count: 480
Retail Price
:
£79.99
R. Lyman Ott, An Introduction to Statistical Methods,
and Data Analysis, 4th ed., 1993, 1050
Kleinbaum, Kupper, et.al., Applied Regression Analysis and Other Multivariate Methods, 3rd ed., 1998, 700
Neter, et.al., Applied Linear Statistical Models,
4th ed., 1996, 1400
and Data Analysis, 4th ed., 1993, 1050
Kleinbaum, Kupper, et.al., Applied Regression Analysis and Other Multivariate Methods, 3rd ed., 1998, 700
Neter, et.al., Applied Linear Statistical Models,
4th ed., 1996, 1400
Audience
Because of the universal appeal of statistics and statistical methodology, most graduate programs include as part of their curriculum one or two course in statistical methods. In addition, undergraduate students majoring in mathematics or statistics are required or encouraged to take courses in statistical methods. This book is intended to serve as a text for such courses. The book requires no mathematics beyond algebra, however, mathematically oriented students will still find the material in the text challenging
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