Open AccessEfficiency nonminimally supported design for two parameters weighted exponential model
Author(s) -
Tatik Widiharih,
Moch. Abdul Mukid,
Mustafid Mustafid,
Alan Prahutama
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1503/1/012005
Subject(s) - optimal design , variance (accounting) , exponential function , mathematics , design of experiments , mathematical optimization , computer science , statistics , mathematical analysis , accounting , business
Minimally supported design is a design with the number of supported design equal to the number of parameters in the model. Locally D-optimal design for weighted exponential model is minimally supported design with uniform weight. The standardized variance of D-optimal design is less than or equal the number of parameters, and maximized the standardized variance at the supported designs. We construct an alternative design by adding one supported design. Nonminimally supported design is obtain from supported design of D-optimal design plus one supported design in three ways, by adding one of them, by adding the average of them or by adding one supported design around them. We compare nonminimally supported designs in terms efficiency, standardized variance, and propose design that are efficient and practically convenient for practitioners.