Likelihood-Based Confidence Intervals for Complementary Poisson Rate Parameters with Misclassified Data

DOI10.1080/03610920802178405zbMath1292.62051OpenAlexW2072045065MaRDI QIDQ5495185

Kent R. Riggs, Dean M. Young, James D. Stamey

Publication date: 31 July 2014

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

Full work available at URL: https://doi.org/10.1080/03610920802178405

zbMATH Keywords

simulationEM algorithmmisclassificationasymptotic confidence intervals

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Censored data models (62N01)

Related Items (2)

Interval estimation for misclassification rate parameters in a complementary Poisson model ⋮ Bayesian interval estimation for the difference of two independent Poisson rates using data subject to under-reporting

Cites Work

• Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification
• Bayesian analysis of complementary Poisson rate parameters with data subject to misclassifica\-tion
• On the Use of Double Sampling Schemes in Analyzing Categorical Data with Misclassification Errors
• Poisson Regression with Misclassified Counts: Application to Cervical Cancer Mortality Rates
• Bayesian Small-Sample Estimation of Misclassified Multinomial Data
• A Double Sampling Scheme for Estimating from Misclassified Multinomial Data with Applications to Sampling Inspection

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