Comparison of presmoothing methods in kernel density estimation under ...
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Jul 31, 2007 · The behavior of the presmoothed density estimator is studied when different ways to estimate the conditional probability of uncensoring are ...
The behavior of the presmoothed density estimator is studied when different ways to estimate the conditional probability of uncensoring are used and the ...
By M. Jácome, I. Gijbels and R. Cao; Comparison of presmoothing methods in kernel density estimation under censoring.
While the local logistic presmoothing estimator presents the best performance, the relative benets of the local linear versus the NadarayaWatson estimator ...
Jul 1, 2008 · The behavior of the presmoothed density estimator is studied when different ways to estimate the conditional probability of uncensoring are ...
Oct 22, 2024 · The estimator makes use of presmoothing ideas replacing the indicators of no censoring by some preliminary nonparametric estimator of the ...
Jacome, M. A., Gijbels, I. and Cao, R. (2008) "Comparison of presmoothing methods in kernel density estimation under censoring", Computational Statistics, 23, ...
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Jacome, M. A., Gijbels, I. and Cao, R. (2008) "Comparison of presmoothing methods in kernel density estimation under censoring", Computational Statistics, 23, ...
In this paper, some nonparametric approaches of density function estimation are developed when censoring indicators are missing at random.
A new kernel-type density estimator is presented in the context of left truncated and right censored data. This estimator is obtained by the convolution of ...