Presmoothed estimation of the density function with truncated and censored data

被引:4
作者
Jacome, M. A. [1 ]
Iglesias-Perez, M. C. [2 ]
机构
[1] Univ A Coruna, Fac Ciencias, Dept Matemat, La Coruna 15071, Spain
[2] Univ Vigo, EU Ing Tecn Forestal, Dept Estadist & Invest Operat, Pontevedra 36005, Spain
关键词
almost sure representation; kernel-type density estimator; LTRC data; presmoothing; survival analysis; PRODUCT-LIMIT ESTIMATOR; STRONG REPRESENTATION; BANDWIDTH SELECTION; SURVIVAL FUNCTION; KAPLAN-MEIER; LAW;
D O I
10.1080/02331880903043231
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
A new kernel-type density estimator is presented in the context of left truncated and right censored data. This estimator is obtained by the convolution of a kernel with an estimator of the distribution function based on presmoothing ideas. Asymptotic properties, including an i.i.d. representation, consistency, asymptotic normality and mean integrated squared error expressions, are given. The practical performance of this estimator is illustrated in a simulation study and used to analyse the lifetime density in a real data example.
引用
收藏
页码:217 / 234
页数:18
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