Overlap estimation of two normally distributed systems based on Monte-Carlo simulation

The method for evaluating of the coincidence of two systems with normally distributed random variables is analysed. It is shown how Monte-Carlo method can be used for overlap estimation of probability distributions of two normally distributed systems.

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Bibliographic Details
Published in2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH) pp. 77 - 80
Main Authors Kosobutskyy, Petro, Lobur, Mykhaylo, Shcherbovskykh, Serhiy, Stefanovych, Tetyana
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2018
Subjects
Computational modeling
expectation
Mathematical model
Monte Carlo methods
normal distribution
overlap probability distributions
Probability distribution
Random variables
Solid modeling
variance
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Summary:The method for evaluating of the coincidence of two systems with normally distributed random variables is analysed. It is shown how Monte-Carlo method can be used for overlap estimation of probability distributions of two normally distributed systems.
ISSN:2573-5373
DOI:10.1109/MEMSTECH.2018.8365706