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Our Monte Carlo exercises assess the finite sample reliability and power of our proposed tests.
They also provide the properties of their test and its finite sample reliability with Monte Carlo simulations.
We conduct Monte Carlo exercises to study the finite sample reliability and power of our proposed tests.
Sample reliability analyses over the design life of a corroded RC beam show the importance of updating over the existing model, for both pitting and uniform corrosion considerations.
First, we calculate potential R(l (k)|x i ), a measure for sample reliability or label agreement, that is, how likely x i will be classified as y i =l (k) by the classifier.
But currently available risk estimating systems have one or more limitations associated with lack of specificity to operation type, size of sample (reliability), range of outcomes predicted, and appreciation of hospital effects.
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Overall sample reliabilities (α: 0.620 0.780; ω: 0.605 0.786) were generally acceptable for α estimates but some of the constructs were far below the acceptable limit for the ω estimates.
The reliabilities (Cronbach's Alpha) of the different subscales range from.75 tour7.In our sample reliabilities ranged from (Alpha).748 to.868 at age 16 and from.722 to.889 at age 19.
In our sample, reliabilities of the subscales ranged from Alpha = .75 to.87 at age 16 and from Alpha = .72 to.89 at age 19.
An essential step in FORM, SORM and importance sampling reliability methods is the determination of the so-called design point.
This review assesses to what extent YST-counts comply with the four criteria of effective sampling (reliability, representativeness, relevance and practicality) as described by Binns et al.
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