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- W4214577342 abstract "We consider estimation of a density when observed lifetime from the convolution model is contaminated by additive measurement errors. A kernel type deconvolving density estimator of the unknown distribution is proposed using Inverse-Probability-of-Censoring Weighted Average. Further, we discuss the asymptotic normality of the deconvolution kernel density estimator when the error distribution is either ordinary smooth or supersmooth." @default.
- W4214577342 created "2022-03-02" @default.
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- W4214577342 date "2022-02-24" @default.
- W4214577342 modified "2023-09-28" @default.
- W4214577342 title "Asymptotic Normality of the Deconvolution Kernel Density Estimator based on Independent Right Censored Data" @default.
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- W4214577342 doi "https://doi.org/10.1007/s44007-022-00019-w" @default.
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