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
339

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

Lacey Gunter, Michael Chernick, Jiajing Sun
318

Selection of Variables in Regression Models Based on Inflated Distributions

Aruna Rao, Sumathi K
187

Regression Analysis with Block Missing Values and Variables Selection

Chien-Pai Han, Yan Li
299

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

Dilip C Nath, Atanu Bhattacharjee
254

Inferential Models for Linear Regression

Zuoyi Zhang, Huiping Xu, Ryan Martin, Chuanhai Liu
432

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

Patrick J. Farrell, Brenda MacGibbon, Thomas J. Tomberlin, Dale Doreen
294

Variable selection by lasso-type methods

Sohail Chand, Shahid Kamal
356

Covariance Structures of Linear Models

Arjun K. Gupta, D. G. Kabe
197

Model Selection by Friedman Statistics

Adil Korkmaz, Muharrem Burak ONEMLI
288