Ángela Blanco-Fernández

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A generalized simple linear regression statistical/probabilistic model in which both input and output data can be fuzzy subsets of Rp is dealt with. The regression model is based on a fuzzy-arithmetic approach and it considers the possibility of fuzzy-valued random errors. Specifically, the least-squares estimation problem in terms of a versatile metric is(More)
When working with real-valued data regression analysis allows to model and forecast the values of a random variable in terms of the values of either another one or several other random variables defined on the same probability space. When data are not real-valued, regression techniques should be extended and adapted to model simply relationships in an(More)
A new linear regression model for an interval-valued response and a real-valued explanatory variable is presented. The approach is based on the interval arithmetic. Comparisons with previous methods are discussed. The new linear model is theoretically analyzed and the regression parameters are estimated. Some properties of the regression estimators are(More)
We study classroom discussions to obtain a fuzzy summary of the quality of teaching and opportunities to learn mathematics created in whole-class settings. We consider the ten rubrics of the Instructional Quality Assessment and make a fuzzy interpretation of this tool. We selected two problems of proportionality and collected data from forty-nine students.(More)