Impact of Censoring on Estimation of Flow Duration Distribution and Its Mitigation Using Kaplan-Meier-Based Method

DOI 機関リポジトリ HANDLE Web Site 参考文献14件
  • SAKAI Yuki
    Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
  • UCHIDA Masato
    Network Design Research Center, Kyushu Institute of Technology
  • TSURU Masato
    Network Design Research Center, Kyushu Institute of Technology
  • OIE Yuji
    Network Design Research Center, Kyushu Institute of Technology

この論文をさがす

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.

収録刊行物

参考文献 (14)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ