MONOTONE ESTIMATING EQUATIONS FOR CENSORED-DATA
MONOTONE ESTIMATING EQUATIONS FOR CENSORED-DATA
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DOI：
10.1214/aos/1176325493
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发表时间：
1994-06-01
影响因子：
4.5
通讯作者：
RITOV, Y
中科院分区：
文献类型：
--
作者：
FYGENSON, M;RITOV, Y
研究了右删失数据回归模型基于单调类秩检的估计方程。我们引入了一个估计量，它是一个单调估计方程的解，它是Gehan检验的推广。在极小条件下，该估计易于推导，根n-相合性和渐近正态。对所有单调估计方程进行了刻画，并进行了模拟研究，结果表明我们提出的方法具有很好的效果。
The monotone class rank-test-based estimating equations for regression models with right censored data is considered. We introduce an estimator which is a solution of a monotone estimating equation that is an extension of the Gehan test. The estimator is easy to derive, root n-consistent and asymptotically normal under minimal conditions. All monotone estimating equations are characterized, and a simulation study, which shows that our suggested procedure performs well, is included.