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Algorithm for detecting outliers in the model uniformly fuzzy regression

When constructing mathematical models based on statistical data, the researcher faces the need to assess the homogeneity of the sample, in particular, the study of data on emissions. Availability in a sample of outliers negatively affects the modeling results and the adequacy of the model as a whole. In this work, an algorithm has been developed that allows one to quantitatively measure the effect of the influence of each observation on the quality of the constructed model. The description of this algorithm is given. Previously the author carried out similar studies for various regression models.