Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77256
Authors: 
Steuer, Detlef
Year of Publication: 
2000
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2000,27
Abstract: 
As will be shown the current use of Desirability Indices for optimisation purposes in experimental design gives biased results in general. Researchers were satisfied with approximative solutions as unbiased results would have required analytical expressions for the distributions of Desirability Indices. These expressions are unavailable. Today’s computing power allows to use Monte-Carlo estimators for estimating exact solutions instead of analytical solutions and therefore to improve the estimation process for Desirabilities.
Subjects: 
MCO
MCD
MCDA
Desirability Function
Desirability Index
numerical optimisation
bias
Monte-Carlo estimation
computer intensive procedures
Document Type: 
Working Paper

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