D-optimal designs for modified exponential models with three parameters

T Widiharih, S Haryatmi - Model Assisted Statistics and …, 2016 - content.iospress.com
T Widiharih, S Haryatmi
Model Assisted Statistics and Applications, 2016content.iospress.com
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 …
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.
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