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Title : D-optimal designs for modified exponential models with three parameters
Author :

TATIK WIDIHARIH (1) Prof. Dr. Sri Haryatmi, M.Sc. (2) Dr. Drs. Gunardi, M.Si. (3)

Date : 0 2016
Keyword : D-optimal, generalized exponential, information matrix, minimally supported, modified exponential, weighted exponential D-optimal, generalized exponential, information matrix, minimally supported, modified exponential, weighted exponential
Abstract : Locally D-optimal designs for modified exponential models with three parameters and homoscedastic error are investigated. D-optimal criteria is based on Equivalence Theorem of Kiefer Wolfowitz [19]. Determination whether the design that meets the specified model is minimally supported design is based on Theorem 1 of Li and Majumdar [21] which examines the behavior of the standardized variance function in a vertical neighborhood of zero. Tchebychev system and their properties plays a critical role on it. The results show that the designs are minimally supported and the design points are interior points of the design region in the interval [0, b], where b is selected such that the curve is relatively constant and closed to 0. At several design regions, which are the subsets of interval [0, b], design points have a specific pattern. © 2016 - IOS Press and the authors. All rights reserved.
Group of Knowledge : Statistik
Original Language : English
Level : Internasional
Status :
Published
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1 15-2016-D-optimal designs for modified exponential models with three parameters.pdf
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2 D-optimal designs for modified exponential models with three parameters.pdf
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