Some aspects of inference for chain binomial models

DOI10.1080/07362999508809403zbMath0818.62104OpenAlexW2031851617MaRDI QIDQ4835294

Paul S. F. Yip, Richard M. Huggins

Publication date: 22 June 1995

Published in: Stochastic Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07362999508809403

zbMATH Keywords

maximum likelihood estimatorsimulation studyspread of diseaseconditional inferencemyxomatosischain binomial modelmartingale estimating equation

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05)

Related Items (1)

A Generalized Chain Binomial Model with Aggregated Data

Cites Work

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• Estimating selective advantage of two alleles in discrete time
• A model for myxomatosis
• The foundations of finite sample estimation in stochastic processes
• AN APPROXIMATE MAXIMUM LIKELIHOOD ESTIMATOR FOR CHAIN BINOMIAL MODELS
• Estimation for an Epidemic Model
• Estimation for Discrete Time Branching Processes with Application to Epidemics
• ASYMPTOTIC INFERENCE FOR A CLASS OF CHAIN BINOMIAL MODELS

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