长度偏差右删失数据下[1mm]比例均值剩余寿命模型的估计方法

Translated title of the contribution: The Estimation for the Proportional Mean Residual Lifetime Function Using Length-biased Survival Data

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We use the mean residual lifetime function to analyze the length biased data with right censorship. When the truncated time satisfies the stationarity assumption, the left truncated and right censored data turns to be the length-biased data and has special property. In order to improve the efficiency of the estimators, we use the combining estimating equation method that incorporates the additional information about length-biased sampling scheme to do the inference. The simulation shows that the combining estimating equation method performs better than the naive method which regards length-biased data as the left truncated data.

Translated title of the contributionThe Estimation for the Proportional Mean Residual Lifetime Function Using Length-biased Survival Data
Original languageChinese (Traditional)
Pages (from-to)865-880
Number of pages16
JournalActa Mathematica Sinica, Chinese Series
Volume61
Issue number5
StatePublished - 1 Sep 2018
Externally publishedYes

Fingerprint

Dive into the research topics of 'The Estimation for the Proportional Mean Residual Lifetime Function Using Length-biased Survival Data'. Together they form a unique fingerprint.

Cite this