Modelling zero inflated and under-reported count data

DOI10.1080/00949655.2023.2182883OpenAlexW4322762189MaRDI QIDQ6050790

Debjit Sengupta, Surupa Roy

Publication date: 19 September 2023

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2023.2182883

zbMATH Keywords

likelihoodbootstrap methodsurrogateundercountexcess zero

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Applications of statistics to social sciences (62P25) Point estimation (62F10) Statistics (62-XX) Bootstrap, jackknife and other resampling methods (62F40)

Cites Work

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• Zero‐Altered and other Regression Models for Count Data with Added Zeros
• Estimation of Poisson Rates with Misclassified Counts
• Bayesian Predictive Probability Functions for Count Data that are Subject to Misclassification
• MAXIMUM LIKELIHOOD ESTIMATION FOR A POISSON RATE PARAMETER WITH MISCLASSIFIED COUNTS
• Univariate Discrete Distributions
• Estimation of Poisson mean with under‐reported counts: a double sampling approach

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