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SIAM Journal on Scientific and Statistical Computing
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Algorithms to Computer Order Statistic Distributions

Algorithms to computer order statistic distributions
Authors: Boncelet, Charles G. jun.;

Algorithms to Computer Order Statistic Distributions

Abstract

Fast recursive algorithms for computing single and multivariate distributions of order statistics are presented, for sequences of either independent or first order Markov random variables (not necessarily identically distributed). Formulas for computing first and second moments of linear estimators based on discrete order statistics directly from their distributions are given.

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Keywords

Numerical solutions to stochastic differential and integral equations, Exact distribution theory in statistics, Probabilistic methods, stochastic differential equations, first order Markov random variables, Multivariate distribution of statistics, Fast recursive algorithms, Order statistics; empirical distribution functions, moments of L-estimates, discrete order statistics, distributions of order statistics, moments of linear estimators

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Average
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