Kernel estimation of the conditional density under a censorship model

Lamia Aouicha and Fatiha Messaci

Statistics & Probability Letters, 2019, vol. 145, issue C, 173-180

Abstract: We establish the mean square convergence, with rate, for an introduced kernel estimator of the conditional density function when the response variable is twice censored. The common case of right censored data can be derived as a particular case.

Keywords: Censored data; Conditional density; Mean square error; Nonparametric estimation; Rate of convergence; Simulation (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1016/j.spl.2018.09.009

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