Discussion of "The power of monitoring"

TL;DR

This paper comments on a discussion about the effectiveness of monitoring techniques in contaminated multivariate samples, emphasizing the importance of robust statistical methods for data quality assurance.

Contribution

It provides an expert perspective on the challenges and potential solutions in monitoring contaminated multivariate data sets, highlighting areas for future research.

Findings

Highlights the significance of robust monitoring in contaminated data

Discusses methodological improvements for multivariate sample analysis

Emphasizes the role of statistical methods in data quality control

Abstract

This is an invited comment on the discussion paper "The power of monitoring: how to make the most of a contaminated multivariate sample" by A. Cerioli, M. Riani, A. Atkinson and A. Corbellini that will appear in the journal Statistical Methods & Applications.