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Efficient Estimation of Interval-Valued Symbolic Data Regression Model

机译:间隔符号符号数据回归模型的高效估计

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摘要

In the last two decades, regression analysis with interval-valued type data has received more and more attention. For the interval-valued symbolic data regression, the Minmax method and the center and range (CR) method are two widely used popular estimating approaches. In this paper, to improve the estimating eciency of these two estimating methods, seemingly unrelated regression approach has been applied to take account of the dependence information of two regression models of the Minmax method or the CR method. Finally, real data sets are analysed to examine the performance of our proposed procedure.
机译:在过去的二十年中,通过间隔级数据的回归分析越来越受到关注。对于间隔值符号数据回归,MinMAX方法和中心和范围(CR)方法是两个广泛使用的流行估算方法。在本文中,为了提高这两种估计方法的估计效果,已经应用了看似无关的回归方法,考虑了MinMax方法或CR方法的两个回归模型的依赖信息。最后,分析了实际数据集以检查我们提出的程序的性能。

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