Regression modeling : methods, theory, and computation with SAS

✍ Scribed by Michael J Panik

• Publisher: CRC Press
• Year: 2009
• Leaves: 806
• Category: Library

✦ Table of Contents

Content: Review of fundamental of statistics --
Bivariate linear regression and correlation --
Misspecified disturbance terms --
Nonparametric regression --
Logistic regression --
Bayesian regression --
Robust regression --
Fuzzy regression --
Random coefficients regression --
L1 and q-Quantile regression --
Regression in a spatial domain --
Multiple regression --
Normal correlation models --
Ridge regression --
Indicator variables --
Polynomial model estimation --
Semiparametric regression --
Nonlinear regression --
Issues in time series modeling and estimation.