SAS System for Regression

ISBN-10: 1580257259

ISBN-13: 9781580257251

Edition: 3rd 2000

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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
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