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sampling distribution

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sampling distribution [′samp·liŋ ‚dis·trə‚byü·shən]
(statistics)
A distribution of the estimates that can be made by each of all possible samples of a fixed size that could be taken from a universe.


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The bootstrap seeks to approximate the sampling distribution of [theta] using f and Monte Carlo simulation (Beran, 1982; Efron, 1982; Effon & Tishirani, 1993; Efron & Tibshirani, 1993; Efron & Tishirani, 1986).
The distribution of these estimates mimics the underlying sampling distribution for the original estimate assuming that the parent population looks like the sample.
A sampling distribution is a probability distribution that describes the relative frequencies of occurrence for all possible results of measurement when the conditions of measurement are hypothesized to be fixed at the intended levels [4].
 
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