Interval arithmetic-based simple linear regression between interval data: Discussion and sensitivity analysis on the choice of the metric
نویسندگان
چکیده
The prediction of a response random interval-valued set from an explanatory one has been examined in previous developments. These developments have considered an interval arithmetic-based linear model between the random interval-valued sets and a least squares regression analysis. The least squares approach involves a generalized L2-metric between interval data; this metric weights squared distances between data location (mid-points/centers) and squared distances between data imprecision (spread/radius). As a consequence, estimators of the parameters in the linear model depend on the choice of the weights in the metric. To investigate about a suitable choice of weighting in the generalized mid/spread metric, a theoretical conclusion is first obtained. Finally, the impact of varying the weights is discussed by considering a Monte Carlo simulation study. 2012 Elsevier Inc. All rights reserved.
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ورودعنوان ژورنال:
- Inf. Sci.
دوره 199 شماره
صفحات -
تاریخ انتشار 2012