Bayesian reliability analysis of complex repairable systems

Applied Stochastic Models in Business and Industry

Volumn 20, Issue 3, 2004, Pages 253-264

  Pievatolo, Antonio ^a   Ruggeri, Fabrizio ^a  

^a CNR   (Italy)

Author keywords

Bayesian inference; Markov chain Monte Carlo; Missing data; Power law process; Superposed poisson process

Indexed keywords

ITERATIVE METHODS; MARKOV PROCESSES; MONTE CARLO METHODS; RELIABILITY; REPAIR;

BAYESIAN RELIABILITY; GAS DISTRIBUTION NETWORKS; MISSING DATA; POWER LAW PROCESS;

LARGE SCALE SYSTEMS;

EID: 4344685443     PISSN: 15241904     EISSN: None     Source Type: Journal    
DOI: 10.1002/asmb.522     Document Type: Conference Paper

References (3)

1. Rigdon SE, Basu AP. Statistical Methods for the Reliability of Repairable Systems. Wiley: New York, 2000.
2. Engelhardt M, Williams DH, Bain LJ. Reliability analysis for complex repairable systems. In Advances in Reliability, Basu AP (ed.). North-Holland: Amsterdam, 1993; 105-121.
3. Yang TY, Kuo L. Bayesian computation for the superposition of nonhomogeneous Poisson processes. Canadian Journal of Statistics 1999; 27:547-556.