BAYESIAN ESTIMATION OF RELIABILITY IN TWO- PARAMETER GEOMETRIC DISTRIBUTION

Authors

  • Sudhansu S. Maiti Department of Statistics, Visva-Bharati University, Santiniketan, India
  • Sudhir Murmu District Rural Development Agency, Khunti, Jharkand, India

Keywords:

ML Estimator, Quasi-Bayes Estimate, Unbiased Estimator

Abstract

Bayesian estimation of reliability of a component, R(t) = P(X ≥ t) , when X follows two-parameter geometric distribution, has been considered. Maximum Likelihood Estimator (MLE), an Unbiased Estimator and Bayesian Estimator have been compared. Bayesian estimation of component reliability R = P ( X ≤ Y ) , arising under stress-strength setup, when Y is assumed to follow independent two-parameter geometric distribution has also been discussed assuming independent priors for parameters under different loss functions.

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Published

2015-12-01

How to Cite

Maiti, S. S. ., & Murmu, S. . (2015). BAYESIAN ESTIMATION OF RELIABILITY IN TWO- PARAMETER GEOMETRIC DISTRIBUTION. Journal of Reliability and Statistical Studies, 8(02), 41–58. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/21045

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