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

研究成果: Article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)1949-1952
ページ数4
ジャーナルIEICE Transactions on Information and Systems
E92-D
10
DOI
出版ステータスPublished - 2009
外部発表はい

ASJC Scopus subject areas

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

引用スタイル