A Comparison of Hazard Rate Estimators for Left Truncated and Right Censored Data

Biometrika ◽  
1992 ◽  
Vol 79 (2) ◽  
pp. 297 ◽  
Author(s):  
Ulku Uzunogullari ◽  
Jane-Ling Wang
Keyword(s):  
Censored Data ◽  
Hazard Rate ◽  
Right Censored Data

scholarly journals Gamma Kernel Estimators for Density and Hazard Rate of Right-Censored Data

2011 ◽  
Vol 2011 ◽  
pp. 1-16 ◽  
Author(s):  
T. Bouezmarni ◽  
A. El Ghouch ◽  
M. Mesfioui
Keyword(s):  
Censored Data ◽  
Hazard Rate ◽  
Kernel Smoothing ◽  
Mean Squared Error ◽  
Boundary Region ◽  
Law Of Iterated Logarithm ◽  
Linear Estimator ◽  
Right Censored Data ◽  
Squared Error ◽  
Rate Functions

The nonparametric estimation for the density and hazard rate functions for right-censored data using the kernel smoothing techniques is considered. The “classical” fixed symmetric kernel type estimator of these functions performs well in the interior region, but it suffers from the problem of bias in the boundary region. Here, we propose new estimators based on the gamma kernels for the density and the hazard rate functions. The estimators are free of bias and achieve the optimal rate of convergence in terms of integrated mean squared error. The mean integrated squared error, the asymptotic normality, and the law of iterated logarithm are studied. A comparison of gamma estimators with the local linear estimator for the density function and with hazard rate estimator proposed by Müller and Wang (1994), which are free from boundary bias, is investigated by simulations.

scholarly journals A comparison of hazard rate estimators for left truncated and right censored data

Biometrika ◽  
1992 ◽  
Vol 79 (2) ◽  
pp. 297-310 ◽  
Author(s):  
ÜLKÜ UZUNOG¯ULLARI ◽  
JANE-LING WANG
Keyword(s):  
Censored Data ◽  
Hazard Rate ◽  
Right Censored Data

scholarly journals Weighted expectile regression for right‐censored data

2021 ◽  
Author(s):  
Alexander Seipp ◽  
Verena Uslar ◽  
Dirk Weyhe ◽  
Antje Timmer ◽  
Fabian Otto‐Sobotka
Keyword(s):  
Censored Data ◽  
Right Censored Data ◽  
Expectile Regression

scholarly journals A kernel log-rank test of independence for right-censored data

2021 ◽  
pp. 1-26
Author(s):  
Tamara Fernández ◽  
Arthur Gretton ◽  
David Rindt ◽  
Dino Sejdinovic
Keyword(s):  
Censored Data ◽  
Rank Test ◽  
Right Censored Data ◽  
Test Of Independence ◽  
Log Rank Test
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