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
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463

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
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422

Selection of Variables in Regression Models Based on Inflated Distributions

10.18187/pjsor.v7i2-Sp.300
Aruna Rao, Sumathi K
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284

Regression Analysis with Block Missing Values and Variables Selection

10.18187/pjsor.v7i2-Sp.303
Chien-Pai Han, Yan Li
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411

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
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336

Inferential Models for Linear Regression

10.18187/pjsor.v7i2-Sp.301
Zuoyi Zhang, Huiping Xu, Ryan Martin, Chuanhai Liu
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572

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
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406

Variable selection by lasso-type methods

10.18187/pjsor.v7i2-Sp.389
Sohail Chand, Shahid Kamal
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486

Covariance Structures of Linear Models

10.18187/pjsor.v7i2-Sp.298
Arjun K. Gupta, D. G. Kabe
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286

Model Selection by Friedman Statistics

10.18187/pjsor.v7i2-Sp.285
Adil Korkmaz, Muharrem Burak ONEMLI
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378