Robust inference techniques based on resampling KU Leuven
Linear regression is the most famous type of regression analysis in statistics. A statistical analysis of a linear regression model usually begins with estimation of the regression coefficients and continues with measuring the accuracy of the estimators. Unfortunately, it is well known that a traditional statistical analysis based on the least squares principle is very sensitive to outliers in the data. Although many robust estimators have ...