Impact of censoring on estimation of flow duration distribution and its mitigation using kaplan-meier-based method

Yuki Sakai, Masato Uchida, Masato Tsuru, Yuji Oie

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1949-1952
Number of pages4
JournalIEICE Transactions on Information and Systems
VolumeE92-D
Issue number10
DOIs
Publication statusPublished - 2009
Externally publishedYes

Keywords

  • Censoring
  • Flow duration distribution
  • Kaplan-Meier method

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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