Presentation 2009-03-03
Estimation of Flow Duration Distribution from Censored Data using Survival Analysis
Yuki SAKAI, Masato UCHIDA, Masato TSURU, Yuji OIE,
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Abstract(in English) A basic and inevitable problem in estimating flow duration distribution arises from "censoring" (i.e., cutting off) the observed flow duration because of a finite measurement period. We extended the Kaplan-Meier method, which is used in the survival analysis field, and applied it to recover information on the flow duration distribution that was lost due to censoring. We show that the flow duration distribution from a short period of actual traffic data with censoring that was estimated using a Kaplan-Meier-based method can approximate well the flow duration distribution calculated from a sufficiently long period of actual traffic data.
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Keyword(in English) Flow duration distribution / cesoring / Kaplan-Meier method
Paper # NS2008-145
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Committee NS
Conference Date 2009/2/24(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of Flow Duration Distribution from Censored Data using Survival Analysis
Sub Title (in English)
Keyword(1) Flow duration distribution
Keyword(2) cesoring
Keyword(3) Kaplan-Meier method
1st Author's Name Yuki SAKAI
1st Author's Affiliation Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology()
2nd Author's Name Masato UCHIDA
2nd Author's Affiliation Network Design Research Center, Kyushu Institute of technology
3rd Author's Name Masato TSURU
3rd Author's Affiliation Network Design Research Center, Kyushu Institute of technology
4th Author's Name Yuji OIE
4th Author's Affiliation Network Design Research Center, Kyushu Institute of technology
Date 2009-03-03
Paper # NS2008-145
Volume (vol) vol.108
Number (no) 457
Page pp.pp.-
#Pages 4
Date of Issue