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.

引用

页码：309 / 332

页数：23

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