Regression modeling : methods, theory, and computation with SAS
by
 
Panik, Michael J., author.

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.

Subject Term
SAS (Computer program language)
 
Regression analysis -- Data processing.

Electronic Access
Click here to view.


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book546178-1001QA278.2 .P27 2009CRC E-Books