An outlier is an observation that lies an abnormal distance from other values in a random sample from a population,” advises the Engineering Statistics Handbook. One of the standard approaches is to ...

Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets. In such contexts, classical statistical methods often ...

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...

Recent bank failures point to the continuing need for vigilance by regulators and investors. Now, a report in the International Journal of Operational Research, discusses the possibility of an ...