Parametric and Nonparametric Regression with Missing X’s—A Review

IF 0.1 Q4 STATISTICS & PROBABILITY
H. Toutenburg, C. Heumann, T. Nittner, S. Scheid
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引用次数: 7

Abstract

This paper gives a detailed overview of the problem of missing data in parametric and nonparametric regression. Theoreti- cal basics, properties as well as simulation results may help the reader to get familiar with the common problem of incomplete data sets. Of course, not all occurences can be discussed so this paper could be seen as an introduction to missing data within regression analysis and as an extension to the early paper of (19).
缺失X - a的参数和非参数回归
本文详细概述了参数回归和非参数回归中数据缺失问题。理论基础,性质以及仿真结果可以帮助读者熟悉不完整数据集的常见问题。当然,并不是所有的情况都可以被讨论,因此本文可以被视为回归分析中缺失数据的介绍,并作为(19)早期论文的延伸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.50
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0.00%
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