Comparison of distribution selection methods

被引：5

作者：

Chiew, Esther ^{[1
]}

Cauthen, Katherine ^{[2
]}

Brown, Nathanael ^{[2
]}

Nozick, Linda ^{[1
]}

机构：

[1] Cornell Univ, Dept Civil & Environm Engn, 220 Hollister Dr, Ithaca, NY 14853 USA

[2] Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2022年 / 51卷 / 04期

关键词：

Count data; Discrete distributions; Distribution selection; Goodness-of-fit tests; GOODNESS-OF-FIT; MODEL SELECTION; ZERO INFLATION; POISSON;

D O I：

10.1080/03610918.2019.1691227

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Many methods have been suggested to choose between distributions. There has been relatively less study to examine whether these methods accurately recover the distributions being studied. Hence, this research compares several popular distribution selection methods through a Monte Carlo simulation study and identifies which are robust for several types of discrete probability distributions. In addition, we study whether it matters that the distribution selection method does not accurately pick the correct probability distribution by calculating the expected distance, which is the amount of information lost for each distribution selection method compared to the generating probability distribution.

引用

页码：1982 / 2005

页数：24

共 50 条

[1] An experimental and theoretical comparison of model selection methods
Kearns, M
Mansour, Y
Ng, AY
Ron, D
MACHINE LEARNING, 1997, 27 (01) : 7 - 50
[2] An Experimental and Theoretical Comparison of Model Selection Methods
Michael Kearns
Yishay Mansour
Andrew Y. Ng
Dana Ron
Machine Learning, 1997, 27 : 7 - 50
[3] A survey of Bayesian predictive methods for model assessment, selection and comparison
Vehtari, Aki
Ojanen, Janne
STATISTICS SURVEYS, 2012, 6 : 142 - 228
[4] COMPARISON OF VARIABLE SELECTION METHODS IN ZERO- INFLATED MODELS
Salamwade, R. L.
Sakate, D. M.
INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES, 2021, 17 (02): : 443 - 451
[5] Model selection for the North American Breeding Bird Survey: A comparison of methods
Link, William A.
Sauer, John R.
Niven, Daniel K.
CONDOR, 2017, 119 (03): : 546 - 556
[6] Comparison of Variable Selection Methods for Forecasting from Short Time Series
McGee, Monnie
Yaffee, Robert A.
2019 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2019), 2019, : 531 - 540
[7] Comparison of Bayesian model averaging and stepwise methods for model selection in logistic regression
Wang, DL
Zhang, WY
Bakhai, A
STATISTICS IN MEDICINE, 2004, 23 (22) : 3451 - 3467
[8] A comparison of statistical methods for modeling count data with an application to hospital length of stay
Fernandez, Gustavo A.
Vatcheva, Kristina P.
BMC MEDICAL RESEARCH METHODOLOGY, 2022, 22 (01)
[9] A comparison of regression methods for model selection in individual-based landscape genetic analysis
Shirk, Andrew J.
Landguth, Erin L.
Cushman, Samuel A.
MOLECULAR ECOLOGY RESOURCES, 2018, 18 (01) : 55 - 67
[10] A Comparison of Common IRT Model-selection Methods with Mixed-Format Tests
Luo, Yong
MEASUREMENT-INTERDISCIPLINARY RESEARCH AND PERSPECTIVES, 2021, 19 (04) : 199 - 212

← 1 2 3 4 5 →