随机删除数据下回归函数核估计的渐近收敛

胡红萍; 杨正民

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随机删除数据下回归函数核估计的渐近收敛

更新时间：2026-09-14

- 随机删除数据下回归函数核估计的渐近收敛
- 随机删除数据下回归函数核估计的渐近收敛
- Issue 3, (2000)
- 作者机构：
  
  华北工学院理学系,山西,太原,030051
- 作者简介：
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- DOI：
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- Published：2000
- 稿件说明：
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胡红萍, 杨正民. 随机删除数据下回归函数核估计的渐近收敛[J]. 2000, (3).
DOI：

胡红萍, 杨正民. 随机删除数据下回归函数核估计的渐近收敛[J]. 2000, (3). DOI：

摘要

目的　研究独立同分布 (independentidentical distribution缩写为 i.i.d)随机样本在随机删除数据下核估计的渐近收敛性

得到两个相应的定理 .方法　利用中心极限定理及其估计的渐近收敛性得到两个相应的定理 .结果和结论　该估计具有渐近正态性收敛

Abstract

Aim\ To study the asymptotical convergency of central appraisal about independent identical distribution sample with randomly deleted data. Methods\ Using independent distributed central limit theorem and asymptotical convergency of its appraisals

two relevant theorems are obtained. Results and Conclusion\ The appraisal has its asymptotical convergency.

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