Bounded normal approximation in simulations of highly reliable Markovian systems
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Publication:4954230
DOI10.1239/JAP/1032374748zbMath0973.65002OpenAlexW2071157273MaRDI QIDQ4954230
Publication date: 15 November 2001
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1239/jap/1032374748
Markov chainsimportance samplingMonte Carlo methodsmulti-component systemshighly reliable systemsdependability measuresbounded normal approximation
Computational methods in Markov chains (60J22) Monte Carlo methods (65C05) Applications of renewal theory (reliability, demand theory, etc.) (60K10)
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