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In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...
Persistent link: https://www.econbiz.de/10011451510
In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...
Persistent link: https://www.econbiz.de/10011431354
Persistent link: https://www.econbiz.de/10000905138
Persistent link: https://www.econbiz.de/10000905140
In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...
Persistent link: https://www.econbiz.de/10013010233
Persistent link: https://www.econbiz.de/10003864821
This paper reports simulation experiments, applying the cross entropy method suchas the importance sampling algorithm for efficient estimation of rare event probabilities in Markovian reliability systems. The method is compared to various failurebiasing schemes that have been proved to give...
Persistent link: https://www.econbiz.de/10011334846
Persistent link: https://www.econbiz.de/10001928203
Persistent link: https://www.econbiz.de/10000930032
Persistent link: https://www.econbiz.de/10002039129