Central Limit Theorems for $L_p$ Distances of Kernel Estimators of Densities Under Random Censorship

Author:

Csorgo Miklos,Gombay Edit,Horvath Lajos

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Central limit theorems for the $L_{p}$-error of smooth isotonic estimators;Electronic Journal of Statistics;2019-01-01

2. The Lp consistency of error density estimator in censored linear regression;Communications in Statistics - Theory and Methods;2018-02-23

3. Lp distance for kernel density estimator in length-biased data;Communications in Statistics - Theory and Methods;2017-06-02

4. Central Limit Theorem for ISE of Kernel Density Estimators in Censored Dependent Model;Communications in Statistics - Theory and Methods;2012-04-15

5. Asymptotic of theLr-norm of density estimators in the autoregressive time series;Statistics;2011-04

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