Approximate confidence intervals for a proportion from Markov dependent trials

DOI10.1080/03610917908812101zbMath0437.62042OpenAlexW2013248758MaRDI QIDQ3878545

Edwin L. Crow

Publication date: 1979

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610917908812101

zbMATH Keywords

design of experimentsEdgeworth seriestelecommunicationsBernoulli trialsPearson systemapproximate confidence regionsstrictly stationary Markov chain

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Markov processes: hypothesis testing (62M02)

Related Items (3)

Existence and uniqueness of the solution of the likelihood equations for binary Markov chains ⋮ Validation of estimators of a proportion from Markov dependent trials ⋮ On parameter estimation in Bernoulli trials with dependence

Cites Work

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• A note on the estimation of parameters in a Bernoulli model with dependence
• Statistical inference in Bernoulli trials with dependence
• THE DISTRIBUTION OF THE NUMBER OF SUCCESSES IN A SEQUENCE OF DEPENDENT TRIALS
• Unbiased Sequential Estimation for Binomial Populations
• On sums of random variables defined on a two-state Markov chain
• Large-sample theory of sequential estimation

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