Estimating reliability measures for highly-dependable Markov systems, using balanced likelihood ratios

IEEE Transactions on Reliability

Volumn 50, Issue 3, 2001, Pages 265-280

  Alexopoulos, Christos ^a   Shultes, Bruce C ^b  

^a Georgia Institute of Technology   (United States)

^b University of Cincinnati   (United States)

Author keywords

Highly dependable system; Importance sampling; Limiting unavailability; Mean time to failure; Monte Carlo simulation

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ESTIMATION; FAULT TOLERANT COMPUTER SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; SAMPLING; THEOREM PROVING;

BALANCED LIKELIHOOD RATIOS; CENTRAL LIMIT THEOREM; HIGHLY-DEPENDABLE MARKOV SYSTEMS; IMPORTANCE SAMPLING;

RELIABILITY THEORY;

EID: 0035466285     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/24.974123     Document Type: Article

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