Robust interval regression analysis based on Minkowski difference

Masahiro Inuiepchi, Haruki, Fujita, Tanino
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引用次数: 10

Abstract

In this paper, we propose robust interval regression methods based on Minkowski difference. In the previous interval regression methods, the estimated interval function is strongly influenced by some outliers. We introduce M-estimators developed in robust regression to interval regression methods and propose interval regression techniques whose resulting estimated interval functions are not strongly influenced by some outliers.
基于Minkowski差分的稳健区间回归分析
本文提出了基于闵可夫斯基差分的稳健区间回归方法。在以往的区间回归方法中,估计的区间函数受到一些异常值的强烈影响。我们将稳健回归中发展的m估计量引入区间回归方法,并提出区间回归技术,其结果估计的区间函数不受某些异常值的强烈影响。
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