![[Back]](/images/prevpage.gif)
![[Index]](/images/index.gif)
![[Help]](/images/help.gif)
![[MSI]](/images/msi.gif)
![[ANU Online]](/images/online.gif)
Research Report SRR95-007
On kernel density estimation under Koziol Green model of censorship
Prakash Patil
Abstract:
The main difference between the Koziol-Green model of random censorship and the
general random censorship model is that the censoring variable in the latter is
non-informative whereas the former contains information on distribution of
the variable that it censors. This feature, in the recent work on the topic,
has been used to modify the usual kernel density estimator under random
censorship model.
Here we provide an asymptotic formula for mean squared error (MSE) of such
modified estimator.
This service is maintained by the
Mathematical Sciences Institute (MSI)
Comments to
webmaster@maths.anu.edu.au
URL: http://wwwmaths.anu.edu.au/