Resumen de Robust Estimation and Hypothesis Testing Under Short-Tailedness and Inliers
Estimation and hypothesis testing based on normal samples censored in the middle are developed and shown to be remarkably efficient and robust to symmetric short-tailed distributions and to inliers in a sample. This negates the perception that sample mean and variance are the best robust estimators in such situations (Dunnet, 1982; Tiku, 1980).
