Sampling in order

id: sampling-in-order-312-14837927
title: Sampling in order
text: In statistics, some Monte Carlo methods require independent observations in a sample to be drawn from a one-dimensional distribution in sorted order. In other words, all n order statistics are needed from the n observations in a sample. The naive method performs a sort and takes O(n log n) time. There are also O(n) algorithms which are better suited for large n. The special case of drawing n sorted observations from the uniform distribution on [0,1] is equivalent to drawing from the uniform dist
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original url: https://en.wikipedia.org/wiki/Sampling_in_order
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date modified: 2024-03-28T06:18:32Z
main entity: {"identifier":"Q17084099","url":"https://www.wikidata.org/entity/Q17084099"}
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