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• W2011036732 abstract "In some applications with astronomical and survival data, doubly truncated data are sometimes encountered. In this work we introduce kernel-type density estimation for a random variable which is sampled under random double truncation. Two different estimators are considered. As usual, the estimators are defined as a convolution between a kernel function and an estimator of the cumulative distribution function, which may be the NPMLE [2] or a semiparametric estimator [9]. Asymptotic properties of the introduced estimators are explored. Their finite sample behaviour is investigated through simulations. Real data illustration is included." @default.
• W2011036732 created "2016-06-24" @default.
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• W2011036732 date "2012-01-01" @default.
• W2011036732 modified "2023-09-26" @default.
• W2011036732 title "Kernel density estimation with doubly truncated data" @default.
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• W2011036732 doi "https://doi.org/10.1214/12-ejs683" @default.
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