Estimating a Distribution Function at the Boundary

Estimation of distribution functions has many real-world applications. We study kernel estimation of a distribution function when the density function has compact support. We show that, for densities taking value zero at the endpoints of the support, the kernel distribution estimator does not need...

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Bibliographic Details
Main Authors: Shunpu Zhang, Zhong Li, Zhiying Zhang
Format: Article
Language:English
Published: Austrian Statistical Society 2020-02-01
Series:Austrian Journal of Statistics
Online Access:http://www.ajs.or.at/index.php/ajs/article/view/801