these indicators vary among the European countries. Because some countries can be identified as outliers, robust regression … as an acceptable analytic tool was applied. The aim of the paper is to construct relevant regression models for each …

A robust approach should be considered when estimating regression coefficients in multi-response problems. Many models … because the least squares method is sensitive to these types of points, robust regression approaches appear to be a more … analyzed; thus, multi-response problems have more applications. The robust regression approach used in this paper is based on M …

outliers and influential observations. A variety of diagnostic methods are employed to identify these influential observations … methods utilised proved incapable of identifying or accommodating the gross outlier(s) in the data, the more successful … methods included robust regression, Winsorising, the Hadi and Siminoff algorithm, Cook?s Distance and Covratio. …

A Monte Carlo simulation was used to generate data for a comparison of five robust regression estimation methods with …). Criteria on which the regression methods were measured are relative efficiency, bias and a test of the null hypothesis. Results …1. The best performing regression method on the test of the null hypothesis was MM2. Overall, the MM-type robust …

outliers and influential observations. A variety of diagnostic methods are employed to identify these influential observations … methods utilised proved incapable of identifying or accommodating the gross outlier(s) in the data, the more successful … methods included robust regression, Winsorising, the Hadi and Siminoff algorithm, Cook's Distance and Covratio. …

A robust approach should be considered when estimating regression coefficients in multi-response problems. Many models … because the least squares method is sensitive to these types of points, robust regression approaches appear to be a more … analyzed; thus, multi-response problems have more applications. The robust regression approach used in this paper is based on M …