2004Shuxue de shijian yu renshiRequires access

Expected Bayesian Estimation Method of Parameters its Application

Han Ming

Open publisher page 2 citations

Abstract

The paper develops a estimate method of parameters, which is named as ″expected Bayesian estimation method″. In the case for exponential distribution, when prior distribution of failure rate is Gamma distribution, the expected Bayesian estimation and hierarchical Bayesian estimation of failure rate were given, and on the base the character of expected Bayesian estimation for failure rate and reliability are given. Finally, calculations are performed regarding to practical problems, which show that the expected Bayesian estimation method is feasible and easy to operate.

About this research paper

What this paper is about

The paper develops a estimate method of parameters, which is named as ″expected Bayesian estimation method″. In the case for exponential distribution, when prior distribution of failure rate is Gamma distribution, the expected Bayesian estimation and hierarchical Bayesian estimation of failure rate were given, and on the base the character of expected Bayesian estimation for failure rate and reliability are given. Finally, calculations are performed regarding to practical problems, which show that the expected Bayesian estimation method is feasible and easy to operate.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper develops a estimate method of parameters, which is named as ″expected Bayesian estimation method″. In the case for exponential distribution, when prior distribution of failure rate is Gamma distribution, the expected Bayesian estimation and hierarchical Bayesian estimation of failure rate were given, and on the base the character of expected Bayesian estimation for failure rate and reliability are given. Finally, calculations are performed regarding to practical problems, which show that the expected Bayesian estimation method is feasible and easy to operate.

Key concepts: Bayesian probability, Bayes estimator, Failure rate, Estimation, Computer science, Bayesian linear regression, Bayesian average, Exponential distribution

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