The local behavior of oscillation modulus of the product-limit (PL) process and the cumulative hazard process is investigated when the data are subjected to random censoring. Laws of the iterated logarithm of local oscillation modulus for the PL-process and the cumulative hazard process are established. Some of these results are applied to obtain the almost sure best rates of convergence for various types of density estimators as well as the Bahadur-Kiefer type process.link_to_subscribed_fulltex
The empirical process theory is a main topic is statistics, since it is involved in most of the gene...
We prove functional laws of the iterated logarithm for empirical processes based upon censored data ...
We prove functional laws of the iterated logarithm for empirical processes based upon censored data ...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We prove functional limit laws for the increment functions of empirical processes based upon randoml...
The empirical process theory is a main topic is statistics, since it is involved in most of the gene...
We prove functional laws of the iterated logarithm for empirical processes based upon censored data ...
We prove functional laws of the iterated logarithm for empirical processes based upon censored data ...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
We prove functional limit laws for the increment functions of empirical processes based upon randoml...
The empirical process theory is a main topic is statistics, since it is involved in most of the gene...
We prove functional laws of the iterated logarithm for empirical processes based upon censored data ...
We prove functional laws of the iterated logarithm for empirical processes based upon censored data ...