On parameter estimation in Bernoulli trials with dependence

DOI10.1080/03610928008827968zbMath0459.62073OpenAlexW1982491587MaRDI QIDQ3909874

Do Sun Bai, Seong-In Kim

Publication date: 1980

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

Full work available at URL: https://doi.org/10.1080/03610928008827968

zbMATH Keywords

mean squared errorasymptotic efficiencyMarkov chainmaximum likelihood estimatorbiasratio estimatorBernoulli trialsdependence parameter

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Monte Carlo methods (65C05) Statistical tables (62Q05)

Related Items (1)

Existence and uniqueness of the solution of the likelihood equations for binary Markov chains

Cites Work

• A note on the estimation of parameters in a Bernoulli model with dependence
• Statistical inference in Bernoulli trials with dependence
• Approximate confidence intervals for a proportion from Markov dependent trials
• A note on estimation in bernoulli trials with dependence
• Unbiased Estimates for Certain Binomial Sampling Problems with Applications

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