The number of distinct values of some multiplicity in sequences of geometrically distributed random variables

We consider a sequence of $n$ geometric random variables and interpret the outcome as an urn model. For a given parameter $m$, we treat several parameters like what is the largest urn containing at least (or exactly) $m$ balls, or how many urns contain at least $m$ balls, etc. Many of these question...

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Main Authors: Guy Louchard, Helmut Prodinger, Mark Daniel Ward
Format: Article
Language:English
Published: Discrete Mathematics & Theoretical Computer Science 2005-01-01
Series:Discrete Mathematics & Theoretical Computer Science
Subjects:
Online Access:https://dmtcs.episciences.org/3358/pdf
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author Guy Louchard
Helmut Prodinger
Mark Daniel Ward
author_facet Guy Louchard
Helmut Prodinger
Mark Daniel Ward
author_sort Guy Louchard
collection DOAJ
description We consider a sequence of $n$ geometric random variables and interpret the outcome as an urn model. For a given parameter $m$, we treat several parameters like what is the largest urn containing at least (or exactly) $m$ balls, or how many urns contain at least $m$ balls, etc. Many of these questions have their origin in some computer science problems. Identifying the underlying distributions as (variations of) the extreme value distribution, we are able to derive asymptotic equivalents for all (centered or uncentered) moments in a fairly automatic way.
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spelling doaj.art-8a964b8764064ae19747de2b67542fcd2024-03-07T14:30:51ZengDiscrete Mathematics & Theoretical Computer ScienceDiscrete Mathematics & Theoretical Computer Science1365-80502005-01-01DMTCS Proceedings vol. AD,...Proceedings10.46298/dmtcs.33583358The number of distinct values of some multiplicity in sequences of geometrically distributed random variablesGuy Louchard0Helmut Prodinger1Mark Daniel Ward2Département d'Informatique [Bruxelles]Department of Mathematical Sciences [Matieland, Stellenbosch Uni.]Department of mathematics Purdue UniversityWe consider a sequence of $n$ geometric random variables and interpret the outcome as an urn model. For a given parameter $m$, we treat several parameters like what is the largest urn containing at least (or exactly) $m$ balls, or how many urns contain at least $m$ balls, etc. Many of these questions have their origin in some computer science problems. Identifying the underlying distributions as (variations of) the extreme value distribution, we are able to derive asymptotic equivalents for all (centered or uncentered) moments in a fairly automatic way.https://dmtcs.episciences.org/3358/pdfextreme value distributiondistinct valuesgeometric random variables[info.info-ds] computer science [cs]/data structures and algorithms [cs.ds][info.info-dm] computer science [cs]/discrete mathematics [cs.dm][math.math-co] mathematics [math]/combinatorics [math.co][info.info-cg] computer science [cs]/computational geometry [cs.cg][info.info-hc] computer science [cs]/human-computer interaction [cs.hc]
spellingShingle Guy Louchard
Helmut Prodinger
Mark Daniel Ward
The number of distinct values of some multiplicity in sequences of geometrically distributed random variables
Discrete Mathematics & Theoretical Computer Science
extreme value distribution
distinct values
geometric random variables
[info.info-ds] computer science [cs]/data structures and algorithms [cs.ds]
[info.info-dm] computer science [cs]/discrete mathematics [cs.dm]
[math.math-co] mathematics [math]/combinatorics [math.co]
[info.info-cg] computer science [cs]/computational geometry [cs.cg]
[info.info-hc] computer science [cs]/human-computer interaction [cs.hc]
title The number of distinct values of some multiplicity in sequences of geometrically distributed random variables
title_full The number of distinct values of some multiplicity in sequences of geometrically distributed random variables
title_fullStr The number of distinct values of some multiplicity in sequences of geometrically distributed random variables
title_full_unstemmed The number of distinct values of some multiplicity in sequences of geometrically distributed random variables
title_short The number of distinct values of some multiplicity in sequences of geometrically distributed random variables
title_sort number of distinct values of some multiplicity in sequences of geometrically distributed random variables
topic extreme value distribution
distinct values
geometric random variables
[info.info-ds] computer science [cs]/data structures and algorithms [cs.ds]
[info.info-dm] computer science [cs]/discrete mathematics [cs.dm]
[math.math-co] mathematics [math]/combinatorics [math.co]
[info.info-cg] computer science [cs]/computational geometry [cs.cg]
[info.info-hc] computer science [cs]/human-computer interaction [cs.hc]
url https://dmtcs.episciences.org/3358/pdf
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