When BLUE is not best: non-normal errors and the linear model
When BLUE is not best: non-normal errors and the linear model is a scholarly work, published in 2018 in ''Political Science Research and Methods''. The main subjects of the publication include regularization, instrumental variables estimation, econometrics, ordinary least squares, generalized least squares, Monte Carlo method, qualitative comparative analysis, multicollinearity, least-squares function approximation, statistics, estimator, variable, linear model, applied mathematics, mathematics, and computer science. The authors also discuss several approaches to detect, summarize, and communicate the influence of particular data points..