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The deviations of the activity concentration values of coincidence and TDCR measurements from the anticoincidence result were 1.7% and 0.63%, respectively, which were within experimental evaluated uncertainties at ~95% level of confidence (coverage factor k = 2).
First, all variants with a low confidence (coverage <20-fold) were not followed.
Each list is associated with its level of confidence, coverage and specificity.
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The two methods differed in confidence interval coverage, with coverage probabilities much closer to the nominal level with the DS method than the DO method.
The slow convergence of the approximate power confidence interval coverage to the target coverage may be due, in part, to use of ∊ ~ n and ∊ ~ r in the approximate power confidence interval equation.
Power confidence interval coverage converged to the target coverage as sample size increased.
For larger rank of X, the approximate power confidence interval coverage fell short of the target coverage in several instances.
The approximate power confidence interval coverage for the uncorrected tests reached the target coverage value in every case except for large νest and small rank of X from the target study.
Through Monte Carlo simulation we show that both variance estimators are approximately unbiased, but that the new estimator is more stable (i.e., has lower empirical variance) and provides empirical confidence interval coverage rates that coincide more closely with the nominal coverage rates.
Similar results were obtained for the target 90% two-sided confidence interval coverage as well as the 95%and90%0% one-sided confidence intervals coverage.
In general, for population sphericity values of 0.282 and 0.505, the approximate power confidence interval coverage for the Box conservative test converged to the target coverage value as rank of X est increased, and thus νest decreased.
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