In this paper, two types of kernel based estimators of hazard rate under left truncation and right censorship are considered. An asymptotic representation of the integrated squared error for both estimators is obtained. Also it is shown that the bandwidth selected by the data-based method of least squares cross-validation is asymptotically optimal in a compelling sense. (C) 1997 Elsevier Science B.V.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1997YL16700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Statistics & ProbabilitySCI(E)6ARTICLE2101-1143
We suggest a completely empirical approach to the construction of confidence bands for hazard functi...
The nonparametric estimation for the density and hazard rate functions for right-censored data using...
Bandwidth selection, Kernel smoothing, Mean integrated squared error, Survival analysis, 62G07, 60F0...
In this paper, two types of kernel based estimators of hazard rate under left truncation and right c...
SUMMARY: Left truncation and right censoring arise frequently in practice for life data. This paper ...
An asymptotic representation of the mean weighted integrated squared error for the kernel based esti...
Nonparametric kernel estimators for hazard functions and their derivatives are considered under the ...
An asymptotic representation of the mean weighted integrated squared error for the kernel based esti...
In this thesis, we are concerned with the asymptotic properties of kernel estimates with variable ba...
In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya...
Let X be the variable of interest with distribution function F, hazard function $\lambda$ and Y be a...
Let X be the variable of interest with distribution function F, hazard function $\lambda$ and Y be a...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
We suggest a completely empirical approach to constructing con¯dence bands for hazard functions, bas...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
We suggest a completely empirical approach to the construction of confidence bands for hazard functi...
The nonparametric estimation for the density and hazard rate functions for right-censored data using...
Bandwidth selection, Kernel smoothing, Mean integrated squared error, Survival analysis, 62G07, 60F0...
In this paper, two types of kernel based estimators of hazard rate under left truncation and right c...
SUMMARY: Left truncation and right censoring arise frequently in practice for life data. This paper ...
An asymptotic representation of the mean weighted integrated squared error for the kernel based esti...
Nonparametric kernel estimators for hazard functions and their derivatives are considered under the ...
An asymptotic representation of the mean weighted integrated squared error for the kernel based esti...
In this thesis, we are concerned with the asymptotic properties of kernel estimates with variable ba...
In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya...
Let X be the variable of interest with distribution function F, hazard function $\lambda$ and Y be a...
Let X be the variable of interest with distribution function F, hazard function $\lambda$ and Y be a...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
We suggest a completely empirical approach to constructing con¯dence bands for hazard functions, bas...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
We suggest a completely empirical approach to the construction of confidence bands for hazard functi...
The nonparametric estimation for the density and hazard rate functions for right-censored data using...
Bandwidth selection, Kernel smoothing, Mean integrated squared error, Survival analysis, 62G07, 60F0...