Mathematics and Statistics Faculty Publications
Document Type
Article
Abstract
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 pseudolikelihood 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.
Copyright Statement
Publisher PDF
Repository Citation
Paneru, Khyam; Padgett, R. Noah; and Chen, Hanfeng, "Estimation of Zero-Inflated Population Mean: A Bootstrapping Approach" (2018). Mathematics and Statistics Faculty Publications. 74.
https://scholarworks.bgsu.edu/math_stat_pub/74
Publication Date
5-2018
Publication Title
Journal of Modern Applied Statistical Methods
DOI
https://doi.org/10.22237/jmasm/1525133460
Volume
17
Issue
1
