SAS System for Regression

Name: SAS System for Regression
Price: 104.56 USD
Availability: InStock
ISBN: 9781580257251

ISBN-10: 1580257259

ISBN-13: 9781580257251

Edition: 3rd 2000

Authors: Rudolf J. Freund, Ramon C. Littell

List price: $47.95

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Book details

List price: $47.95
Edition: 3rd
Copyright year: 2000
Publisher: SAS Institute
Publication date: 1/1/2004
Binding: Hardcover
Pages: 264
Size: 8.75" wide x 11.00" long x 0.50" tall
Weight: 1.342
Language: English



Acknowledgments



Regression Concepts



Statistical Background



Performing a Regression with the IML Procedure



Regression with the SAS System



Using the REG Procedure



Introduction



A Model with One Independent Variable



A Model with Several Independent Variables



Various MODEL Statement Options



Further Examination of Model Parameters



Plotting Results



Creating Data I: the OUTPUT Statement



Creating Data II: Other Data Sets



Creating Data III: ODS Output



Predicting to a Different Set of Data



Exact Collinearity: Linear Dependency



Summary



Observations



Introduction



Outlier Detection



Specification Errors



Heterogeneous Variances



Correlated Errors



Summary



Multicollinearity: Detection and Remedial Measures



Introduction



Detecting Multicollinearity



Model Restructuring



Variable Selection



Biased Estimation



Summary



Curve Fitting



Introduction



Polynomial Models with One Independent Variable



Polynomial Plots



Polynomial Models with Several Variables



Response Surface Plots



A Three-Factor Response Surface Experiment



Curve Fitting without a Model



Summary



Special Applications of Linear Models



Introduction



Multiplicative Models



Spline Models



Indicator Variables



Binary Response Variable: Logistic Regression



Summary



Nonlinear Models



Introduction



Estimating the Exponential Decay Model



Fitting a Growth Curve with the NLIN Procedure



Fitting Splines with Unknown Knots



Additional Comments on the NLIN Procedure



Summary



Using SAS/INSIGHT Software for Regression



Introduction



Multiple Linear Regression: the BOQ Data



A Polynomial Response Surface: the FISH Data



Logistic Regression: the DYSTRO Data



Nonparametric Smoothing: the Barbados Data



Summary


References


Index