Literature DB >> 21243084

Probabilities for separating sets of order statistics.

D H Glueck1, A Karimpour-Fard, J Mandel, K E Muller.   

Abstract

Consider a set of order statistics that arise from sorting samples from two different populations, each with their own, possibly different distribution functions. The probability that these order statistics fall in disjoint, ordered intervals and that of the smallest statistics, a certain number come from the first populations is given in terms of the two distribution functions. The result is applied to computing the joint probability of the number of rejections and the number of false rejections for the Benjamini-Hochberg false discovery rate procedure.

Entities:  

Year:  2010        PMID: 21243084      PMCID: PMC3020799          DOI: 10.1080/02331880902986984

Source DB:  PubMed          Journal:  Statistics (Ber)        ISSN: 0233-1888            Impact factor:   1.051


  2 in total

1.  Expected Power for the False Discovery Rate with Independence.

Authors:  D H Glueck; K E Muller; A Karimpour-Fard; L Hunter
Journal:  Commun Stat Theory Methods       Date:  2008-01       Impact factor: 0.893

2.  Fast Computation by Block Permanents of Cumulative Distribution Functions of Order Statistics from Several Populations.

Authors:  D H Glueck; A Karimpour-Fard; J Mandel; L Hunter; K E Muller
Journal:  Commun Stat Theory Methods       Date:  2008-01-01       Impact factor: 0.893

  2 in total

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