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Weighted estimate of the Monte-Carlo method for calculating the higher moments of the additive transport characteristics of multiplying particles
A closed Integral representation is given for a moment of an arbitrary order of an arbitrary additive stochastic characteristic of a cascade process involving the transport of particles in a substance. An unbiased non-simulation estimate of the Monte-Carlo method is proposed for calculating such mom...
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Published in: | U.S.S.R. computational mathematics and mathematical physics 1990, Vol.30 (1), p.91-100 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | A closed Integral representation is given for a moment of an arbitrary order of an arbitrary additive stochastic characteristic of a cascade process involving the transport of particles in a substance. An unbiased non-simulation estimate of the Monte-Carlo method is proposed for calculating such moments on the trajectories of a branching Markov process with discrete time. An example of the efficient use of the estimate is given. |
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ISSN: | 0041-5553 |
DOI: | 10.1016/0041-5553(90)90011-G |