2018
DOI: 10.1007/s40995-018-0633-6
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Optimal Design for Accelerated Degradation Test Based on D-Optimality

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Cited by 7 publications
(2 citation statements)
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“…The effect of wood type, preservative type and concentration (treatment), and the adhesive system was investigated using a design selected according to D-optimality (Guttorp and Lindgren 2009). In the field of design of experiments and optimal designs, D-optimality is a popular optimality criterion (Redhe et al 2002; Chen et al 2010; Mosayebi Omshi and Shemehsavar 2018; Yeesa et al 2019). In this study, 16 design points (Table 2) were randomly selected from 36 candidate design points sequentially generated and improved by exchange method using Minitab Software v.18.…”
Section: Methodsmentioning
confidence: 99%
“…The effect of wood type, preservative type and concentration (treatment), and the adhesive system was investigated using a design selected according to D-optimality (Guttorp and Lindgren 2009). In the field of design of experiments and optimal designs, D-optimality is a popular optimality criterion (Redhe et al 2002; Chen et al 2010; Mosayebi Omshi and Shemehsavar 2018; Yeesa et al 2019). In this study, 16 design points (Table 2) were randomly selected from 36 candidate design points sequentially generated and improved by exchange method using Minitab Software v.18.…”
Section: Methodsmentioning
confidence: 99%
“…The design methods of ADT include the D-optimal, C-optimal, and M-optimal criteria. Omshi et al [43] used the D-optimal criterion to conduct a constant stress accelerated degradation testing with a degradation path following the inverse Gaussian process. They obtained the optimal sample allocation for each stress level and determined the effect of stress level on the objective function.…”
Section: Research Status Of Adt Design and Optimizationmentioning
confidence: 99%