论文信息 - USING KULLBACK-LEIBLER DISTANCE FOR PERFORMANCE EVALUATION OF SEARCH DESIGNS

USING KULLBACK-LEIBLER DISTANCE FOR PERFORMANCE EVALUATION OF SEARCH DESIGNS

This paper considers the search problem, introduced by Srivastava (10). This is a model discrimination problem. In the context of search linear models, discrimination ability of search de- signs has been studied by several researchers. Some criteria have been developed to measure this capability, however, they are re- stricted in a sense of being able to work for searching only one possible nonzero eect. In this paper, two criteria are proposed, based on Kullback-Leibler distance. These criteria are able to eval- uate the search ability of designs, without any restriction on the number of nonzero eects.

Hooshang Talebi | Nabaz Esmailzadeh | H. Talebi | Nabaz Esmailzadeh

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