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In probability theory, the first-order second-moment (FOSM) method, also referenced as mean value first-order second-moment (MVFOSM) method, is a probabilistic method to determine the stochastic moments of a function with random input variables. The name is based on the derivation, which uses a ''first-order'' Taylor series and the first and ''second moments'' of the input variables.〔A. Haldar and S. Mahadevan, Probability, Reliability, and Statistical Methods in Engineering Design. John Wiley & Sons New York/Chichester, UK, 2000.〕 == Approximation == Consider the objective function , where the input vector is a realization of the random vector with probability density function . As is randomly distributed, also is randomly distributed. Following the FOSM method, the mean value of is approximated by : The variance of is approximated by : where is the length/dimension of and is the partial derivative of at the mean vector with respect to the ''i''-th entry of . 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「First-order second-moment method」の詳細全文を読む スポンサード リンク
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