Bias-reduced maximum likelihood estimation of the zero-inflated Poisson distribution

DOI10.1080/03610926.2013.824590zbMath1337.62036OpenAlexW2115976081MaRDI QIDQ2807695

Jacob Schwartz, David E. A. Giles

Publication date: 25 May 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.824590

zbMATH Keywords

bias reductionmaximum likelihood estimationfinite sample propertieszero-inflated Poisson distribution

Mathematics Subject Classification ID

Point estimation (62F10) Bootstrap, jackknife and other resampling methods (62F40) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (11)

bccp: an R package for life-testing and survival analysis ⋮ Analytic bias correction for maximum likelihood estimators when the bias function is non-constant ⋮ Improved maximum likelihood estimators for the parameters of the Johnson S_B distribution ⋮ Bias-corrected maximum likelihood estimators of the parameters of the inverse Weibull distribution ⋮ Improved maximum likelihood estimation of the parameters of the Gamma-Uniform distribution with bias-corrections ⋮ Improved parameter estimation of the log-logistic distribution with applications ⋮ Unnamed Item ⋮ Improved maximum-likelihood estimators for the parameters of the unit-gamma distribution ⋮ Two-stage circular-circular regression with zero inflation: application to medical sciences ⋮ Unnamed Item ⋮ Estimation of the generalized process capability indexC_pykbased on bias-corrected maximum-likelihood estimators for the generalized inverse Lindley distribution and bootstrap confidence intervals

Cites Work

• Unnamed Item
• Unnamed Item
• Improving the reliability of bootstrap tests with the fast double bootstrap
• Bootstrap methods: another look at the jackknife
• Bias correction in ARMA models
• Research and development, competition and innovation. Pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity
• Bias Reduction for the Maximum Likelihood Estimators of the Parameters in the Half-Logistic Distribution
• THE SAMPLING DISTRIBUTION OF A MAXIMUM-LIKELIHOOD ESTIMATE
• Bias-corrected maximum likelihood estimation for the beta distribution
• Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods
• Univariate Discrete Distributions
• Quantiles for Counts
• THE ESTIMATION OF THE LOCATION AND SCALE PARAMETERS OF A CONTINUOUS POPULATION OF ANY GIVEN FORM

This page was built for publication: Bias-reduced maximum likelihood estimation of the zero-inflated Poisson distribution