Open AccessOptimal designs for probability-based optimality, parameter estimation and model discrimination
Author(s) -
N. M. Kilany
Publication year - 2017
Publication title -
journal of the egyptian mathematical society
Language(s) - English
Resource type - Journals
eISSN - 2090-9128
pISSN - 1110-256X
DOI - 10.1016/j.joems.2017.01.002
Subject(s) - mathematics , equivalence (formal languages) , optimality criterion , mathematical optimization , estimation , discrete mathematics , management , economics
In this paper, a new compound optimality criterion will be introduced. This criterion called PDKL-optimality. The proposed criterion aimed to introduce designs satisfy maximum probability of success, efficient parameter estimation and true model. An equivalence theorem is stated and proved for PDKL-optimality criterion
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