区间值数据的抵抗回归

2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence Pub Date : 2013-09-08 DOI:10.1109/BRICS-CCI-CBIC.2013.52

Jobson Renan, J. Silva, S. Galdino

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摘要

本文介绍了两种拟合区间值数据单变量抗线性回归模型的新方法。区间值数据的线性回归给出了点预测。根据拟合的抗极差线性回归模型估计因变量区间值数据的下界和上界的预测。新提出的方法应在存在异常值的情况下使用。

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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Resistant Regression for Interval-Valued Data

This paper introduces two new approaches to fit univariate resistant linear regression models on interval-valued data. Linear regressions on interval-valued data gives point predictions. The prediction of the lower and upper bounds from interval-valued data of dependent variable are estimated from the fitted range resistant linear regression model. The new proposed methods should be used in presence of outliers.

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来源期刊

2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence

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