New robust estimator improves accuracy in population mean calculations with outliers.
Researchers developed new estimators for population mean using robust regression techniques like Huber MM, LTS, and LMS. Their estimators outperformed existing ones in terms of accuracy, especially when dealing with outliers. The new estimators showed lower mean square error in simulations and real-world data with unusual observations.
