A MONTE-CARLO APPROACH TO ERROR PROPAGATION

被引：34

作者：

OGILVIE, JF

机构：

[1] Australian Natl Univ, Research Sch, of Chemistry, Canberra, Aust, Australian Natl Univ, Research Sch of Chemistry, Canberra, Aust

来源：

COMPUTERS & CHEMISTRY | 1984年 / 8卷 / 03期

关键词：

COMPUTERS; MICROPROCESSOR;

D O I：

10.1016/0097-8485(84)80007-8

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

A Monte-Carlo approach to error propagation from input parameters of known variance (and covariance if available) properties through an arbitrarily complicated analytic or numerical transformation to output parameters is discussed. A simple random-number generator for a rectangular distribution function is shown to provide an economical and fairly efficient means of simulating the effects of using a normal distribution function.

引用

页码：205 / 207

页数：3

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