Estimation of Zero-Inflated Population Mean: A Bootstrapping Approach

被引：5

作者：

Paneru, Khyam ^{[1
]}

Padgett, R. Noah ^{[2
]}

Chen, Hanfeng ^{[3
]}

机构：

[1] Univ Wisconsin, Whitewater, WI 53190 USA

[2] Baylor Univ, Waco, TX 76798 USA

[3] Bowling Green State Univ, Bowling Green, OH 43403 USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2018年 / 17卷 / 01期

关键词：

Zero-inflation; mixture model; maximum pseudo-likelihood; bootstrapping;

D O I：

10.22237/jmasm/1525133460

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：

A mixture model was adopted from the maximum pseudo-likelihood approach under complex sampling designs to estimate the mean of zero-inflated population. To overcome the complexity and assumptions of asymptotic distribution, the maximum pseudo-likelihood function was used, but a bootstrapping procedure was proposed as an alternative. Bootstrap confidence intervals consistently capture the true means of zero-inflated populations of the simulation studies.

引用

页数：13

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