Exact(1)
It exploits the advantages of order statistics to provide distribution free tolerance intervals for the RAMS+C estimation, which is based on the minimum number of runs necessary to guarantee a probability content or coverage with a confidence level.
Similar(7)
An alternative approach is to calculate distribution-free tolerance intervals.
This latter calculation is equal to the 99%-coverage, distribution-free tolerance interval at the specified certainty.
Distribution-free tolerance intervals (99%-coverage, 95%-certainty) were determined for each crop-analyte combination [ 40] where possible (N ≥473).
For example, a minimum of 473 data points are needed for calculating a 99%-coverage, 95%-certainty, distribution-free, tolerance interval [ 34, 38].
In addition to the advantages previously described for distribution-free tolerance intervals, a couple of additional points are worthy of mention.
For example, the 99%-coverage, 83.4%-certainty distribution-free tolerance interval for ash in soybean seed is 3.89 6.99% dry weight (Table 3, row 1).
Finally, data indicating analyte concentrations below the level of detection or quantification do not need to be censored or assigned "dummy" values for reporting, because distribution-free tolerance intervals are based on the rank of responses, not the responses themselves.
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