EFFICIENT METHODS FOR SENSITIVITY ANALYSIS

被引：29

作者：

CLEMSON, B

机构：

[1] College of Engineering and Technology, Old Dominion University, Norfolk, Virginia

来源：

SYSTEM DYNAMICS REVIEW | 1995年 / 11卷 / 01期

关键词：

D O I：

10.1002/sdr.4260110104

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Sensitivity analysis is usually difficult because to test exhaustively too many trials are required for the available time, money, or patience. This article discusses Latin hypercube sampling and Taguchi methods, both of which are methods for experimental design that allow testing of all combinations of parameter values with a manageable number of trials. The procedures for use of the Taguchi methods are presented in some detail.

引用

页码：31 / 49

页数：19

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