Cover image for Regression modeling : methods, theory, and computation with SAS
Title:
Regression modeling : methods, theory, and computation with SAS
Author:
Panik, Michael J., author.
ISBN:
9780429189036
Physical Description:
1 online resource (xv, 814 pages)
General Note:
A Chapman & Hall book.
Contents:
chapter 1 Review of Fundamentals of Statistics -- chapter 2 Bivariate Linear Regression and Correlation -- chapter 3 Misspecifi ed Disturbance Terms -- chapter 4 Nonparametric Regression -- chapter 5 Logistic Regression -- chapter 6 Bayesian Regression -- chapter 7 Robust Regression -- chapter 8 Fuzzy Regression -- chapter 9 Random Coeffi cients Regression -- chapter 10 L1 and q-Quantile Regression -- chapter 11 Regression in a Spatial Domain -- chapter 12 Multiple Regression -- chapter 13 Normal Correlation Models -- chapter 14 Ridge Regression -- chapter 15 Indicator Variables -- chapter 16 Polynomial Model Estimation -- chapter 17 Semiparametric Regression -- chapter 18 Nonlinear Regression -- chapter 19 Issues in Time Series Modeling and Estimation.
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E-Book 546178-1001 QA278.2 .P27 2009
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