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Information × Registration Number 2117U002221, Article popup.category Thesis Title popup.author popup.publication 01-01-2017 popup.source_user Сумський державний університет popup.source http://essuir.sumdu.edu.ua/handle/123456789/55754 popup.publisher Sumy State University Description The statistical technique for detecting outliers in bivariate non-Gaussian data on the basis of normalizing transformations, prediction ellipse and a test statistic (TS) for the Mahalanobis squared distance (MSD), which has an approximate F distribution, is proposed. Application of the technique is considered for detecting outliers in two bivariate non-Gaussian data sets: the first, actual effort (hours) and size (adjusted function points) from 145 maintenance and development projects, the second, effort (hours) and mass (tonnes) of designed the section of the ship from 188 designs of sections. popup.nrat_date 2025-05-12 Close