scholarly journals A uniform central limit theorem and efficiency for deconvolution estimators

2012 ◽  
Vol 6 (0) ◽  
pp. 2486-2518 ◽  
Author(s):  
Jakob Söhl ◽  
Mathias Trabs
2012 ◽  
Vol 82 (5) ◽  
pp. 1021-1027 ◽  
Author(s):  
Jongsig Bae ◽  
Changha Hwang ◽  
Doobae Jun

2003 ◽  
Vol 67 (3) ◽  
pp. 467-480 ◽  
Author(s):  
Jongsig Bae ◽  
Sungyeun Kim

Let be the Kaplan-Meier integral process constructed from the random censorship model. We prove a uniform central limit theorem for {Un} under the bracketing entropy condition and mild conditions due to the censoring effects. We also prove a sequential version of the uniform central limit theorem that will give a functional law of the iterated logarithm of Strassen type.


Sign in / Sign up

Export Citation Format

Share Document