Literature DB >> 19865590

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

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

Abstract

The joint cumulative distribution function for order statistics arising from several different populations is given in terms of the distribution functions of the populations. The computational cost of our formula in the case of two populations is still exponential in the worst case, but it is a dramatic improvement compared to the general formula by Bapat and Beg. In the case when only the joint distribution function of a subset of the order statistics of fixed size is needed, the complexity is polynomial, for the case of two populations.

Year:  2008        PMID: 19865590      PMCID: PMC2768298          DOI: 10.1080/03610920802001896

Source DB:  PubMed          Journal:  Commun Stat Theory Methods        ISSN: 0361-0926            Impact factor:   0.893


  1 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

  1 in total
  2 in total

1.  Exact calculations of average power for the Benjamini-Hochberg procedure.

Authors:  Deborah H Glueck; Jan Mandel; Anis Karimpour-Fard; Lawrence Hunter; Keith E Muller
Journal:  Int J Biostat       Date:  2008       Impact factor: 0.968

2.  Probabilities for separating sets of order statistics.

Authors:  D H Glueck; A Karimpour-Fard; J Mandel; K E Muller
Journal:  Statistics (Ber)       Date:  2010-04-01       Impact factor: 1.051

  2 in total

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