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Assuming that component lifetimes are Rayleigh distributed, guaranteed-coverage and expected-coverage tolerance limits are computed for minimal repair times of series systems.
As such, the use of 99%-coverage, tolerance intervals to assess safe levels of crop components may be unnecessarily conservative.
This resource provides an opportunity to calculate valid high-coverage tolerance intervals for many compositional components found in these crops.
By using a limited-coverage tolerance interval that excludes a small proportion of subjects, potentially diseased individuals are excluded from what is considered normal.
In cases where the sample size was insufficient to calculate 99%-coverage tolerance intervals with 95% certainty, the certainty with which the range of the data covers at least 99% of the population was calculated.
When estimating high-coverage tolerance intervals, accurately defining the underlying data distribution is especially important, because the intervals will be very sensitive to deviations from the assumed distribution in the tails of the distribution, where few (if any) points are available [ 37].
Exact guaranteed-coverage and expected-coverage Bayesian tolerance limits for the lifetime distribution of a k-out-of-n F system are computed by solving nonlinear equations.
In [17], a multiobjective metric is proposed for placing multiple base stations at the optimal positions in wireless sensor networks, including coverage, fault tolerance, energy consumption, and network delay.
Phylum-specific and subgroup-specific primers were designed from the consensus sequences of the phylotype sequences, and the specificities of the designed primers were evaluated both in silico and empirically for coverage and tolerance.
Reduced feather coverage improves heat tolerance [ 24- 27].
It is easy to understand the coverage encompassed in tolerance intervals and the degree of certainty that one has about this content.
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