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The effect of test size on reliability is summarized, and it is argued that a reliability standard can be based on the value of reliability that maximizes the efficiency or the power of a design.
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The application results show that our method surpasses the conventional methods in terms of both test size and coverage.
Without loss of generality, we assumed Θ0= 0. A test size, α, of 0.05 was used.
Figure 4a also shows a moderate effect of test set size for the two overoptimistic cross-validation variants (stronger underestimation for smaller training set sizes).
The effect of test specimen size on the unnotched strength of continuous fiber reinforced composites is considered.
Conditioned MEPs were expressed as a percent of test MEP size (SICI = conditioned MEP/test MEP; ICF = conditioned MEP/test MEP).
PSO was investigated in generating test suite of combinatorial testing [38], and PSO outperformed SA and ACO in terms of the size of test suite and detected faults.
Post testing of testing day×litter size interaction was performed using individual one-way ANOVA's with associated Tukey HSD.
The producer and consumer risks are satisfied, and the size of test sample and the size of acceptance number are optimized.
The power of test and sample size is closely related.
Instead, they propose to form k groups of tests with sizes of perhaps 10 20 that are likely to have the same mean test statistics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com