Regression analysis for social sciences
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Author
Contributions
- Schuster, Christof. - Contributor
Publication
1998 - Academic Press, San Diego, Calif, California
Language
English
Word Count
96,500 words, Guess
Page Count
386 pages
Identifiers
- Open LibraryOL396561M
- ISBN-100127249559
- OCLC Control Number39695890
- OCLC Control Numberregressionanalys00eyea
- Library of Congress Control Number98084465
and 2 more
- LibraryThing6412075
- Goodreads3584417
Classifications
- DDC300/.01/519536
- LCCHA31.3 .E94 1998
Description
Regression analysis is the most widely used method in applied statistics. The method has many facets and provides many options. Introductory textbooks typically cover only standard ordinary least-squares regression. Regression Analysis for Social Sciences covers many more options, including robust regression, curvilinear regression, symmetrical regression, ridge regression, piecewise regression, regression for longitudinal data, and the partial interaction method for dealing with interaction problems. Sample applications are presented and sample command files are included for SYSTAT and S+. Results of analyses and characteristics of solutions are illustrated in over 50 figures.
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