A new measure of association for bivariate survival data

被引:5
|
作者
Nair, N. Unnikrishnan [1 ]
Sankaran, P. G. [1 ]
机构
[1] Cochin Univ Sci & Technol, Dept Stat, Cochin 682022, Kerala, India
关键词
Measure of association; Clayton's measure; Mean residual life function; Product moment residual life function; MEAN RESIDUAL LIFE; WEIGHTED DISTRIBUTIONS; DEPENDENCE; MODEL;
D O I
10.1016/j.jspi.2010.03.019
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Time dependent association measures between variables are of interest in bivariate survival data. Several such measures have been proposed in literature for the modelling and analysis of survival data. In this paper, we introduce a new measure of association for bivariate survival data using product moment residual life function and mean residual life function. Various properties of the proposed measure and its relationship with existing measures are discussed. We also develop a non-parametric estimator of the measure and study its asymptotic properties. The application of the result is illustrated using a real life data. Finally, a stimulation study is carried out to assess the performance of the estimator. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:2569 / 2581
页数:13
相关论文
共 50 条