Estimation of Poisson mean with under‐reported counts: a double sampling approach

DOI10.1111/anzs.12308zbMath1521.62020OpenAlexW3132526516MaRDI QIDQ6081854

Tathagata Banerjee, Surupa Roy, Debjit Sengupta

Publication date: 5 October 2023

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12308

zbMATH Keywords

confidence intervalsmaximum likelihoodpseudo-likelihoodcoveragevalidation datasubsample

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items (1)

Modelling zero inflated and under-reported count data

Cites Work

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• Bayesian analysis of multivariate probit models with surrogate outcome data
• Pseudo maximum likelihood estimation: Theory and applications
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• Marginal methods for correlated binary data with misclassified responses
• A BAYESIAN HIERARCHICAL MODEL FOR POISSON RATE AND REPORTING-PROBABILITY INFERENCE USING DOUBLE SAMPLING
• Measurement Error
• A note on modelling underreported Poisson counts
• 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

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