Estimation of Zero-Inflated Population Mean with Highly Skewed Nonzero Component: A Bootstrapping Approach

  • Khyam Paneru The University of Tampa, USA
  • R. Noah Padgett Baylor University, USA
  • Hanfeng Chen Bowling Green State University, USA
Keywords: two-component model, zero-inflated log-normal, maximum pseudo-likelihood, bootstrap, skewed distribution,


This paper adopts a bootstrap procedure in the maximum pseudo-likelihood method under probability sampling designs. It estimates the mean of a population that is a mixture of excess zero and a nonzero skewed sub-population. Simulations studies show that the bootstrap confidence intervals for zero-inflated log-normal population consistently capture the true mean. The proposed method is applied to a real-life data set.


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How to Cite
Paneru, K., Padgett, R. N., & Chen, H. (2022). Estimation of Zero-Inflated Population Mean with Highly Skewed Nonzero Component: A Bootstrapping Approach. Statistics, Optimization & Information Computing, 10(4), 1044-1055.
Research Articles