Print Email Facebook Twitter Robustness properties of multivariate S-estimators Title Robustness properties of multivariate S-estimators: Unveiling the resilience and reliability in a multivariate statistical analysis Author Marrone, Camillo (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Lopuhaä, H.P. (mentor) Degree granting institution Delft University of Technology Programme Applied Mathematics Date 2023-07-17 Abstract This thesis investigates the robustness of multivariate S-estimators, which are statistical methods used to estimate the location and covariance parameters of multivariate distributions. Outliers, or atypical observations, can significantly impact statistical analyses, leading to incorrect conclusions. Robust methods, such as S-estimators, aim to reduce the influence of outliers, providing more reliable analysis results.The primary objective is to assess the effectiveness of S-estimators through simulations using the statistical package R. Subject robustnessestimatorstatistics To reference this document use: http://resolver.tudelft.nl/uuid:a62b3f72-34e2-40b9-82cb-f35f34674f4d Part of collection Student theses Document type bachelor thesis Rights © 2023 Camillo Marrone Files PDF Bsc_thesis_CMarrone.pdf 3.04 MB Close viewer /islandora/object/uuid:a62b3f72-34e2-40b9-82cb-f35f34674f4d/datastream/OBJ/view