An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment

TLDR

Sensitivity analysis of computer models is a statistical technique used to assess.

Abstract

AbstractThis is the first part of a two-part article presenting a statistical approach to the sensitivity analysis of computer models. Part I defines the objectives of sensitivity analysis and presents a computer model that is used for purposes of illustration in the paper. A discussion of the necessary considerations for selection of sample values of variables used as input to the model is given. Details are given for the identification of important variables when the computer output varies with time and when all input variables have been varied simultaneously. For this latter topic the importance of considering data transformation is explained.KeywordsComputer ModelsSensitivity Analysis Additional informationNotes on contributorsRonald L. I man is a statistical consultant.Jon C. HeltonDr. Helton is an Associate Professor of Mathematics in the Department of Mathematics at Arizona State University and is currently on leave to Sandia.James E. CampbellDr. Campbell is a physicist and is now employed with Intera Environmental Consultants.