Loss Rate Estimation with Incomplete Data Set

摘要：

　　Loss tomography has received considerable interest in recent years.Although a number of estimators have been proposed for the tree topology,most of them do not consider data missing.To correct this,we in this paper classify data into five classes and propose four estimators,one for a type of data with missing.The estimators are proved to be the maximum likelihood ones.The work is further extended into the general topology that has hardly been explored previously,where a structure between data and models is established.

关键词： Network tomography Data missing Maximumlikelihood Estimate (MLE) Observation and Model

作者: Weiping Zhu

作者单位: University of New South Wales Australia

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 995-1000

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）