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Stochastic orderings of convolution residuals
In this paper we study convolution residuals , that is, if are independent random variables, we study the distributions, and the properties, of the sums given that , where , and . Various stochastic orders, among convolution residuals based on observations from either one or two samples, are derived...
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Published in: | Metrika 2013-05, Vol.76 (4), p.559-576 |
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container_end_page | 576 |
container_issue | 4 |
container_start_page | 559 |
container_title | Metrika |
container_volume | 76 |
creator | Amiripour, Fariba Khaledi, Baha-Eldin Shaked, Moshe |
description | In this paper we study
convolution residuals
, that is, if
are independent random variables, we study the distributions, and the properties, of the sums
given that
, where
, and
. Various stochastic orders, among convolution residuals based on observations from either one or two samples, are derived. As a consequence computable bounds on the survival functions and on the expected values of convolution residuals are obtained. Some applications in reliability theory and queueing theory are described. |
doi_str_mv | 10.1007/s00184-012-0404-x |
format | article |
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convolution residuals
, that is, if
are independent random variables, we study the distributions, and the properties, of the sums
given that
, where
, and
. Various stochastic orders, among convolution residuals based on observations from either one or two samples, are derived. As a consequence computable bounds on the survival functions and on the expected values of convolution residuals are obtained. Some applications in reliability theory and queueing theory are described.</description><identifier>ISSN: 0026-1335</identifier><identifier>EISSN: 1435-926X</identifier><identifier>DOI: 10.1007/s00184-012-0404-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Economic Theory/Quantitative Economics/Mathematical Methods ; Mathematics and Statistics ; Probability Theory and Stochastic Processes ; Statistics</subject><ispartof>Metrika, 2013-05, Vol.76 (4), p.559-576</ispartof><rights>Springer-Verlag 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c321t-f4b318eda396013adb9df25db0db0b9e74feb8622d680088eea8337c66b638d33</citedby><cites>FETCH-LOGICAL-c321t-f4b318eda396013adb9df25db0db0b9e74feb8622d680088eea8337c66b638d33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Amiripour, Fariba</creatorcontrib><creatorcontrib>Khaledi, Baha-Eldin</creatorcontrib><creatorcontrib>Shaked, Moshe</creatorcontrib><title>Stochastic orderings of convolution residuals</title><title>Metrika</title><addtitle>Metrika</addtitle><description>In this paper we study
convolution residuals
, that is, if
are independent random variables, we study the distributions, and the properties, of the sums
given that
, where
, and
. Various stochastic orders, among convolution residuals based on observations from either one or two samples, are derived. As a consequence computable bounds on the survival functions and on the expected values of convolution residuals are obtained. Some applications in reliability theory and queueing theory are described.</description><subject>Economic Theory/Quantitative Economics/Mathematical Methods</subject><subject>Mathematics and Statistics</subject><subject>Probability Theory and Stochastic Processes</subject><subject>Statistics</subject><issn>0026-1335</issn><issn>1435-926X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9j8tKxDAUhoMoWEcfwF1fIHpyaZouZfAyMOBCBXchV-0wNkPSyvj2ptS1cODfnO8_50PomsANAWhvMwCRHAOhGDhwfDxBFeGswR0V76eoAqACE8aac3SR865st4LSCuGXMdpPncfe1jE5n_rhI9cx1DYO33E_jX0c6uRz7ya9z5foLJTwV3-5Qm8P96_rJ7x9ftys77bYMkpGHLhhRHqnWSeAMO1M5wJtnIEypvMtD97Ict8JCSCl91oy1lohjGDSMbZCZOm1KeacfFCH1H_p9KMIqNlXLb6q-KrZVx0LQxcmH2YJn9QuTmkob_4D_QKShFlc</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Amiripour, Fariba</creator><creator>Khaledi, Baha-Eldin</creator><creator>Shaked, Moshe</creator><general>Springer-Verlag</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20130501</creationdate><title>Stochastic orderings of convolution residuals</title><author>Amiripour, Fariba ; Khaledi, Baha-Eldin ; Shaked, Moshe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c321t-f4b318eda396013adb9df25db0db0b9e74feb8622d680088eea8337c66b638d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Economic Theory/Quantitative Economics/Mathematical Methods</topic><topic>Mathematics and Statistics</topic><topic>Probability Theory and Stochastic Processes</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amiripour, Fariba</creatorcontrib><creatorcontrib>Khaledi, Baha-Eldin</creatorcontrib><creatorcontrib>Shaked, Moshe</creatorcontrib><collection>CrossRef</collection><jtitle>Metrika</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amiripour, Fariba</au><au>Khaledi, Baha-Eldin</au><au>Shaked, Moshe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stochastic orderings of convolution residuals</atitle><jtitle>Metrika</jtitle><stitle>Metrika</stitle><date>2013-05-01</date><risdate>2013</risdate><volume>76</volume><issue>4</issue><spage>559</spage><epage>576</epage><pages>559-576</pages><issn>0026-1335</issn><eissn>1435-926X</eissn><abstract>In this paper we study
convolution residuals
, that is, if
are independent random variables, we study the distributions, and the properties, of the sums
given that
, where
, and
. Various stochastic orders, among convolution residuals based on observations from either one or two samples, are derived. As a consequence computable bounds on the survival functions and on the expected values of convolution residuals are obtained. Some applications in reliability theory and queueing theory are described.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s00184-012-0404-x</doi><tpages>18</tpages></addata></record> |
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language | eng |
recordid | cdi_crossref_primary_10_1007_s00184_012_0404_x |
source | Springer Nature |
subjects | Economic Theory/Quantitative Economics/Mathematical Methods Mathematics and Statistics Probability Theory and Stochastic Processes Statistics |
title | Stochastic orderings of convolution residuals |
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