An overview of nonparametric contributions to the problem of functional estimation from biased data

被引：0
|
作者：
José A. Cristóbal
José T. Alcalá
机构：
[1] Universidad de Zaragoza,Departmento de Métodos Estadísticos
来源：
Test | 2001年 / 10卷
关键词：
Biased sampling; density estimation; length-biased data; nonparametric inference; regression estimation; semiparametric models; weighted distributions; Primary:62G05; Secondary:62G06,62G07,62D05;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents an overview of nonparametric contributions to the literature on estimation problems when the observations are taken from weighted distributions. Many situations involving biased data in a very diverse range of contexts are considered, with emphasis being placed on the applications of smoothing techniques to estimate curves, such as density and regression functions. Some important problems encountered in semiparametric models are also analyzed.
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页码：309 / 332
页数：23
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