Subset selection in poisson regression

被引：3

作者：

Sakate D.M. ^{[1
]}

Kashid D.N. ^{[1
]}

Shirke D.T. ^{[1
]}

机构：

[1] Department of Statistics, Shivaji University, Kolhapur

来源：

Journal of Statistical Theory and Practice | 2011年 / 5卷 / 2期

关键词：

Deviance; Poisson regression; Stepwise procedure; Subset selection;

D O I：

10.1080/15598608.2011.10412024

中图分类号：

学科分类号：

摘要：

In this article, we propose a criterion for subset selection in Poisson regression called D p criterion. This criterion uses the deviance of the full model and subset model to arrive at a decision. Based on the same criterion a stepwise procedure is also developed to select the appropriate subset. The procedure is useful even when the number of regressors is large. The proposed stepwise method is operationally simple to implement. The method is illustrated with examples. © 2011 Copyright Taylor and Francis Group, LLC.

引用

页码：207 / 219

页数：12

共 50 条

[31] Subset selection in multiple linear regression: a new mathematical programming approach
Eksioglu, B
Demirer, R
Capar, I
COMPUTERS & INDUSTRIAL ENGINEERING, 2005, 49 (01) : 155 - 167
[32] Integrated subset selection and bandwidth estimation algorithm for geographically weighted regression
Lee, Hyunwoo
Park, Young Woong
PATTERN RECOGNITION, 2025, 165
[33] Subset selection in multiple linear regression with heavy tailed error distribution
Kashid, DN
Kulkarni, SR
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2003, 73 (11) : 791 - 805
[34] A regression subset-selection strategy for fat-structure data
Gatu, Cristian
Sysi-Aho, Marko
Oresic, Matej
COMPSTAT 2008: PROCEEDINGS IN COMPUTATIONAL STATISTICS, 2008, : 349 - 358
[35] Efficient simulation budget allocation for subset selection using regression metamodels
Gao, Fei
Shi, Zhongshun
Gao, Siyang
Xiao, Hui
AUTOMATICA, 2019, 106 : 192 - 200
[36] Feature subset selection for logistic regression via mixed integer optimization
Toshiki Sato
Yuichi Takano
Ryuhei Miyashiro
Akiko Yoshise
Computational Optimization and Applications, 2016, 64 : 865 - 880
[37] A SIMULATION OF BIASED-ESTIMATION AND SUBSET-SELECTION REGRESSION TECHNIQUES
HOERL, RW
SCHUENEMEYER, JH
HOERL, AE
TECHNOMETRICS, 1986, 28 (04) : 369 - 380
[38] EFFICIENT COMPUTATION OF SUBSET-SELECTION PROBABILITIES WITH APPLICATION TO COX REGRESSION
DELONG, DM
GUIRGUIS, GH
SO, YC
BIOMETRIKA, 1994, 81 (03) : 607 - 611
[39] Application of Random Forest Algorithm on Feature Subset Selection and Classification and Regression
Jaiswal, Jitendra Kumar
Samikannu, Rita
2017 2ND WORLD CONGRESS ON COMPUTING AND COMMUNICATION TECHNOLOGIES (WCCCT), 2017, : 65 - 68
[40] Bayesian variable selection in Poisson change-point regression analysis
Min S.
Park T.
Park, T. (tpark@yonsei.ac.kr), 1600, Bellwether Publishing, Ltd. (46): : 2267 - 2282

← 1 2 3 4 5 →