Special issue on the topic ”Variables Selection and Post Estimation in Regression Models”

Published: Oct 3, 2011

Post-model selection inference and model averaging

Georges Nguefack-Tsague, Walter Zucchini
1

A Simple Method for Variable Selection in Regression with Respect to Treatment Selection

Lacey Gunter, Michael Chernick, Jiajing Sun
2

Selection of Variables in Regression Models Based on Inflated Distributions

Aruna Rao, Sumathi K
1

Regression Analysis with Block Missing Values and Variables Selection

Chien-Pai Han, Yan Li
2

Effect of Correlation Structure in Generalized Estimating Equation and Quasi Least Square: An Application in Type 2 Diabetes Patient

Dilip C Nath, Atanu Bhattacharjee
1

Inferential Models for Linear Regression

Zuoyi Zhang, Huiping Xu, Ryan Martin, Chuanhai Liu
1

A Bayesian Analysis of a Random Effects Small Business Loan Credit Scoring Model

Patrick J. Farrell, Brenda MacGibbon, Thomas J. Tomberlin, Dale Doreen
3

Variable selection by lasso-type methods

Sohail Chand, Shahid Kamal
4

Covariance Structures of Linear Models

Arjun K. Gupta, D. G. Kabe
2

Model Selection by Friedman Statistics

Adil Korkmaz, Muharrem Burak ONEMLI
1