The article discusses different types of robust estimators called Pitman-like estimators. These estimators help us find reliable values for things like average, spread, and relationships in data. There are four main types: L-estimators, R-estimators, M-estimators, and P-estimators. P-estimators are important because they follow certain rules that make them useful in many situations. They have both good and bad points compared to M-estimators. To make P-estimators easier to use, we might need to simplify some calculations.