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

DOI: https://doi.org/10.18187/pjsor.v7i2-Sp

Published: Oct 3, 2011

Post-model selection inference and model averaging

Georges Nguefack-Tsague, Walter Zucchini
69

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

Lacey Gunter, Michael Chernick, Jiajing Sun
57

Selection of Variables in Regression Models Based on Inflated Distributions

Aruna Rao, Sumathi K
43

Regression Analysis with Block Missing Values and Variables Selection

Chien-Pai Han, Yan Li
56

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

Dilip C Nath, Atanu Bhattacharjee
60

Inferential Models for Linear Regression

Zuoyi Zhang, Huiping Xu, Ryan Martin, Chuanhai Liu
96

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

Patrick J. Farrell, Brenda MacGibbon, Thomas J. Tomberlin, Dale Doreen
74

Variable selection by lasso-type methods

Sohail Chand, Shahid Kamal
62

Covariance Structures of Linear Models

Arjun K. Gupta, D. G. Kabe
39

Model Selection by Friedman Statistics

Adil Korkmaz, Muharrem Burak ONEMLI
65