Bayes Estimators for Reliablity of a k-Unit Standby System with Perfect Switch

  • Lee, Changsoo (School of Multimedia & Information, Kyungwoon University) ;
  • Kim, Keehwan (School of Mathematics and Statistics, Yeungnam University) ;
  • Park, Youngmi (School of Multimedia & Information, Kyungwoon University)
  • Published : 2001.08.01

Abstract

Bayes estimators and generalized ML estimators for reliability of a k-unit hot standby system with the perfect switch based upon a complete sample of failure times observed from an exponential distribution using noninformative, generalized uniform, and gamma priors for the failure rate are proposed, and MSE's of proposed several estimators for the standby system reliability are compared numerically each other through the Monte Carlo simulation.

Keywords

References

  1. Nuclear Sciences and Engineering v.70 Expert Opinion and Statistical Evidence;An Application to Reactor Core Melt Frequency Apostolakis,G.;Mosleh,A.
  2. IEEE Transactions on Reliability v.33 Bayes Reliability Assessment of a 2-unit Hot Standby Redundant System Fuji,S.;Sandoh,H.
  3. Journal of Quality Technology v.8 A Bayesian Statistical Inference Approach to Automative Reliability Estimation Grohowski,G.;Hausman,W.C.;Lamberson,L.R.
  4. Microelectronics and Reliability v.3 Compound Availability Measures for a Two-unit Standby System Kapur,P.K.;Garg,R.B.
  5. Journal of Statistical Theory & Methods v.8 Bayesian Reliability Estimation for a Two-unit Hot Standby System Kim,H.J.;Moon,Y.G.;Lee,C.S.
  6. Bayesian Reliability Analysis Martz,H.F.;Waller,R.A.
  7. Operations Research v.19 On a Two-unit Standby Redundant System with Standby Failure Osaki,S.;Nakagawa,N.
  8. IEEE Transactions on Reliability v.45 no.3 Bayes Estimation for the Pareto Failure-Model Using Gibbs Sampling Tiwari,R.C.;Yang,Y.;Zalkikar,J.N.