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PAS-102 (1983) 195] or hierarchical Bayes [Bayesian reliability analysis, 1991], is an estimation procedure for the assessment of the variability of reliability measures among a group of similar systems.
Future considerations include more robust, high fidelity, modeling of the system effects and evaluation of excess capacity and variability of reliability across suites of other building designs and structural systems such as roof trusses.
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The inclusion of bilateral amputees in the test-retest sample may be considered problematic because it may increase the variability of the reliability coefficient and therefore may inflate the reliability [ 32].
The variability of the reliability values is estimated using bootstrap technique.
However, predicting the variability of software reliability with time is very difficult.
This article reviews advances in FDSOI technology: device structure, back-bias control function, fabrication process, demonstration of small variability of transistors, reliability including soft error, low voltage circuit design and silicon verification, and improvement in the energy efficiency of CMOS logic circuits.
Whereas the variability of the reliability coefficients between different samples within single studies (level 2) and the variability between studies (level 3) are estimated by multilevel models, the within-variability (standard error, level 1) must be calculated for each study using the standard error of the reliability coefficient and will be imputed in the multilevel analysis.
When using these subscales in further studies, the variability of the reliability of the subscales should be taken in to account for calculating the sample sizes.
For further utilization of this tool and its subscales, the variability of their reliability should be taken in account and the sample sizes increased in order to take in account the increased risk of type two error.
Skirton [ 53] recently undertook a systematic review of variability and reliability of manual and automated blood pressure readings, but none of the results were reported as reliability coefficients.
Analytical methods, combined analytical and simulation-based methods, direct Monte Carlo simulations and simulation procedures that employ importance sampling strategies are brought to bear on analyzing dynamic response variability and assessment of reliability.
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