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What is considered "close" and "not close" is determined by using the sampling distribution of x̄.
Confidence limits are obtained using the sampling distribution of estimators at the optimal threshold.
We also tested for selective neutrality using the sampling distribution of mtDNA alleles in a population as implemented in the Ewans-Watterson tests of selective neutrality.
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The MDC, derived using the sample distribution, variability, and test-retest reliability of the APSA subscales, indicate whether a difference between baseline and a follow up visit represents a true difference in cognitive impairment.
The probability of finding r out of k ORFs with a specific transcription factor (TF -motif pair (or a combinaTF -motifeof) within a class by random sampairg is calculated using the hypergeoretric sampling distribution.
The jackknife is a well known, non-parametric method often used for estimating the sampling distribution of a statistic.
Bootstrapping is a non-parametric statistical technique used to estimate the sampling distribution of a statistic by resampling with replacement many times the data from one sample [ 17].
A parametric bootstrap procedure was used to obtain the sampling distribution of the likelihood ratio test statistics and to account for multiple testing.
A bootstrap sample can be used to estimate the sampling distribution of a statistic, but the Bayesian approach results in the full posterior distribution of the statistic, conditional on the data.
Calculation was performed by estimating the sampling distribution using permutation of inputs (cf. permutation tests).
We used non-parametric bootstrap to approximate the sampling distribution of median acceptability of overdetection and derived 95% confidence intervals using the centile method.
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