A kernel estimator of a density function in multivariate case from randomly censored data

Yong Zhou

doi:10.1016/s0252-9602(17)30792-0

A kernel estimator of a density function in multivariate case from randomly censored data

Yong Zhou^*

^*此作品的通讯作者

CAS - Institute of Applied Mathematics

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

A kernel density estimator is proposed when the data are subject to censorship in multivariate case. The asymptotic normality, strong convergence and asymptotic optimal bandwidth which minimize the mean square error of the estimator are studied.

源语言	英语
页（从-至）	170-180
页数	11
期刊	Acta Mathematica Scientia
卷	16
期	2
DOI	https://doi.org/10.1016/s0252-9602(17)30792-0
出版状态	已出版 - 4月 1996
已对外发布	是

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keywords = "Asymptotic normality, Kernel density estimator, Mean square error and censored data, Product-limit estimator",

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KW - Mean square error and censored data

KW - Product-limit estimator

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A kernel estimator of a density function in multivariate case from randomly censored data

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