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    Robust Regression Models for Identifying Outliers in Medical Data

    Abstract: Before applying any multivariate statistical analysis, it is important to determine whether outliers are present in the dataset. In regression analysis, the presence of outliers in the dataset can strongly mislead the classical least squares estimator and lead to unreliable results. In this paper, we prove the minimum covariance determinant estimator, which is commonly applied in a robust statistic to estimate location parameters and multivariate scales. These ideas can be …

    Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 69s–76s Read article

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