Statistical Dependence of Input Variables in DOProC Method
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Petr Janas,
Martin Krejsa,
Vlastimil Krejsa
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Transactions of the VSB - Technical University of Ostrava, Civil Engineering Series |
2012, Volume 12, Issue 2, Pages 48-58
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Doi: 10.2478/v10160-012-0017-3
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In probabilistic tasks, input random variables are often statistically dependent. This fact should be considered in correct computational procedures. In case of the newly developed Direct Optimized Probabilistic Calculation (DOProC), the statistically dependent variables can be expressed by the so-called multidimensional histograms, which can be used e.g. for probabilistic calculations and reliability assessment in the software system ProbCalc.
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