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Article type: Research Article
Authors: Widiharih, Tatika; * | Haryatmi, Srib | Gunardi, b
Affiliations: [a] Department of Statistics, Diponegoro University, Semarang, Indonesia | [b] Department of Mathematics, Gadjah Mada University, Yogyakarta, Indonesia
Correspondence: [*] Corresponding author: Tatik Widiharih, Department of Statistics, Diponegoro University, Semarang, Indonesia. E-mail:widiharih@gmail.com
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.
Keywords: D-optimal, information matrix, generalized exponential, weighted exponential, modified exponential, minimally supported
DOI: 10.3233/MAS-150360
Journal: Model Assisted Statistics and Applications, vol. 11, no. 2, pp. 153-169, 2016
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