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- Sampling_in_order abstract "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 distribution on an n-dimensional simplex; this task is a part of sequential importance resampling.".
- Sampling_in_order wikiPageExternalLink 2450.
- Sampling_in_order wikiPageExternalLink 2347997.
- Sampling_in_order wikiPageID "41559308".
- Sampling_in_order wikiPageRevisionID "589558527".
- Sampling_in_order subject Category:Monte_Carlo_methods.
- Sampling_in_order comment "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.".
- Sampling_in_order label "Sampling in order".
- Sampling_in_order sameAs m.0_1g5rf.
- Sampling_in_order sameAs Q17084099.
- Sampling_in_order sameAs Q17084099.
- Sampling_in_order wasDerivedFrom Sampling_in_order?oldid=589558527.
- Sampling_in_order isPrimaryTopicOf Sampling_in_order.