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Description: |
viii, 236 pages : illustrations ; 28 cm |
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Bibliography Note: |
Includes bibliographical references (pages 227-228) and index. |
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Contents Note: |
Contents: 1. Regression concepts -- 2. Using the REG procedures -- 3. Observations -- 4. Multicollinearity: Detection and remedial measures -- 5. Curve fitting -- 6. Special applications of linear models -- 7. Nonlinear models -- 8. Using SAS/INSIGHT software for regression. |
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Summary, Etc. Note: |
Summary: Learn to perform a wide variety of regression analyses using SAS software with this example-driven revised favorite from SAS Publishing. With this Third Edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics covered include; performing linear regression analyses using Proc REG; diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and the SAS System are assumed. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, using the OUTEST option to produce a data set, and using PROC SCORE to predict another data set. |
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Elect. Loc./Access: |
Table of contents http://catdir.loc.gov/catdir/toc/onix07/00051313.html |