Efficient regression analyses with zero-augmented models based on ranking

被引：0

作者：

Kanda, Deborah ^{[1
]}

Yin, Jingjing ^{[2
]}

Zhang, Xinyan ^{[3
]}

Samawi, Hani ^{[2
]}

机构：

[1] Univ New Mexico, Comprehens Canc Ctr, Albuquerque, NM USA

[2] Georgia Southern Univ, Jiann Ping Hsu Coll Publ Hlth, Dept Biostat Epidemiol & Environm Hlth Sci, Statesboro, GA 30458 USA

[3] Kennesaw State Univ, Sch Data Sci & Analyt, Stat Dept, Kennesaw, GA USA

来源：

COMPUTATIONAL STATISTICS | 2024年

关键词：

Ranked set sampling; Hurdle regression model; Zero-inflated regression model; Fisher's information; COUNT DATA; ORAL-HEALTH; SET; EXTREME; TWITTER;

D O I：

10.1007/s00180-024-01503-3

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：

Several zero-augmented models exist for estimation involving outcomes with large numbers of zero. Two of such models for handling count endpoints are zero-inflated and hurdle regression models. In this article, we apply the extreme ranked set sampling (ERSS) scheme in estimation using zero-inflated and hurdle regression models. We provide theoretical derivations showing superiority of ERSS compared to simple random sampling (SRS) using these zero-augmented models. A simulation study is also conducted to compare the efficiency of ERSS to SRS and lastly, we illustrate applications with real data sets.

引用

页数：32

共 50 条

[1] Comparisons of zero-augmented continuous regression models from a Bayesian perspective
Ye, Tairan
Lachos, Victor H.
Wang, Xiaojing
Dey, Dipak K.
[J]. STATISTICS IN MEDICINE, 2021, 40 (05) : 1073 - 1100
[2] Extending Ordinal Regression with a Latent Zero-Augmented Beta Distribution
Kathryn M. Irvine
T. J. Rodhouse
Ilai N. Keren
[J]. Journal of Agricultural, Biological and Environmental Statistics, 2016, 21 : 619 - 640
[3] Extending Ordinal Regression with a Latent Zero-Augmented Beta Distribution
Irvine, Kathryn M.
Rodhouse, T. J.
Keren, Ilai N.
[J]. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2016, 21 (04) : 619 - 640
[4] Robustness of zero-augmented models over generalized linear models in analysing fertility data in Nigeria
Kareem, Yusuf Olushola
Morhason-Bello, Imran O.
Adebowale, Ayo Stephen
Akinyemi, Joshua Odunayo
Yusuf, Oyindamola Bidemi
[J]. BMC RESEARCH NOTES, 2019, 12 (01)
[5] Robustness of zero-augmented models over generalized linear models in analysing fertility data in Nigeria
Yusuf Olushola Kareem
Imran O. Morhason-Bello
Ayo Stephen Adebowale
Joshua Odunayo Akinyemi
Oyindamola Bidemi Yusuf
[J]. BMC Research Notes, 12
[6] Evaluation of the Use of Zero-Augmented Regression Techniques to Model Incidence of Campylobacter Infections in FoodNet
Tremblay, Marlene
Crim, Stacy M.
Cole, Dana J.
Hoekstra, Robert M.
Henao, Olga L.
Dopfer, Dorte
[J]. FOODBORNE PATHOGENS AND DISEASE, 2017, 14 (10) : 587 - 592
[7] Objective prior distributions for Jolly-Seber models of zero-augmented data
Dorazio, Robert M.
[J]. BIOMETRICS, 2020, 76 (04) : 1285 - 1296
[8] Capturing the Zero: A New Class of Zero-Augmented Distributions and Multiplicative Error Processes
Hautsch, Nikolaus
Malec, Peter
Schienle, Melanie
[J]. JOURNAL OF FINANCIAL ECONOMETRICS, 2014, 12 (01) : 89 - 121
[9] Trends in plant cover derived from vegetation plot data using ordinal zero-augmented beta regression
van Strien, Arco J.
Irvine, Kathryn M.
Retel, Cas
[J]. JOURNAL OF VEGETATION SCIENCE, 2024, 35 (04)
[10] A zero-augmented generalized gamma regression calibration to adjust for covariate measurement error: A case of an episodically consumed dietary intake
Agogo, George O.
[J]. BIOMETRICAL JOURNAL, 2017, 59 (01) : 94 - 109

← 1 2 3 4 5 →