Robust Estimation

Robust estimation is a statistical method designed to accurately analyze data even when some measurements are unusual or contaminated, such as errors or outliers. Unlike traditional techniques that can be heavily influenced by these irregular data points, robust estimation aims to provide reliable results by reducing their impact. This approach ensures that the conclusions drawn from the data genuinely reflect the underlying pattern, making it more dependable in real-world situations where data imperfections are common.