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Efficient methods for sensitivity analysis
Author(s) -
Clemson Barry,
Tang Yongming,
Pyne James,
Unal Resit
Publication year - 1995
Publication title -
system dynamics review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 57
eISSN - 1099-1727
pISSN - 0883-7066
DOI - 10.1002/sdr.4260110104
Subject(s) - taguchi methods , sensitivity (control systems) , computer science , sampling (signal processing) , test (biology) , reliability engineering , operations research , data mining , mathematics , machine learning , engineering , paleontology , filter (signal processing) , electronic engineering , computer vision , biology
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 hyper‐cube 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.