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

Special Issue

Post-model selection inference and model averaging

10.18187/pjsor.v7i2-Sp.292
Georges Nguefack-Tsague, Walter Zucchini
PDF
440

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

10.18187/pjsor.v7i2-Sp.311
Lacey Gunter, Michael Chernick, Jiajing Sun
PDF
404

Selection of Variables in Regression Models Based on Inflated Distributions

10.18187/pjsor.v7i2-Sp.300
Aruna Rao, Sumathi K
PDF
269

Regression Analysis with Block Missing Values and Variables Selection

10.18187/pjsor.v7i2-Sp.303
Chien-Pai Han, Yan Li
PDF
388

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

10.18187/pjsor.v7i2-Sp.305
Dilip C Nath, Atanu Bhattacharjee
PDF
326

Inferential Models for Linear Regression

10.18187/pjsor.v7i2-Sp.301
Zuoyi Zhang, Huiping Xu, Ryan Martin, Chuanhai Liu
PDF
554

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

10.18187/pjsor.v7i2-Sp.307
Patrick J. Farrell, Brenda MacGibbon, Thomas J. Tomberlin, Dale Doreen
PDF
387

Variable selection by lasso-type methods

10.18187/pjsor.v7i2-Sp.389
Sohail Chand, Shahid Kamal
PDF
467

Covariance Structures of Linear Models

10.18187/pjsor.v7i2-Sp.298
Arjun K. Gupta, D. G. Kabe
PDF
273

Model Selection by Friedman Statistics

10.18187/pjsor.v7i2-Sp.285
Adil Korkmaz, Muharrem Burak ONEMLI
PDF
364