NONPARAMETRIC FUNCTIONAL HAZARD WITH k NEAREST NEIGHBORS ESTIMATION WHERE THE OBSERVATIONS ARE M.A.R. AND RELATED VIA A FUNCTIONAL SINGLE-INDEX STRUCTURE

被引:0
|
作者
Bouabca, Asma [1 ]
Bouabsa, Wahiba [2 ]
Bellatrach, Nadjet [2 ]
机构
[1] Univ DjillaliLiabes, Phys Lab, Sidi Bel Abbes 22000, Algeria
[2] Univ DjillaliLiabes, Lab Stat & Stochast Proc, Sidi Bel Abbes 22000, Algeria
来源
JOURNAL OF SCIENCE AND ARTS | 2023年 / 03期
关键词
hazard function; almost complete convergence (a.co.); local linear method; missing data; k-Nearest Neighbors method (kNN); CONDITIONAL MODE; REGRESSION;
D O I
10.46939/J.Sci.Arts-23.3-a06
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The nonparametric local linear hazard functional estimation analyzed by the k.N.N method of the scalar response variable B, not totally observed provided the functional variable A. The purpose of this paper is to illustrate, under some general conditions, the almost complete convergence (with rates) of the constructed estimator.
引用
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页码:639 / 658
页数:20
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