© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. In this 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, we describe how the hard rejection property of the MCD method can be mimicked by an S-estimator with appropriate rho-function. We also point the reader to fast and deterministic algorithms for the MCD, S- and MM-estimators that are specifically suited for monitoring experiments. They were made available a few years ago and successfully used for monitoring in our papers. Finally, the question is raised how monitoring can be applied or extended for increasing numbers of cases, variables and tuning para...
In robust statistics it is generally assumed that the majority of the observations is free of contam...
Summary. Huber’s m-estimates use an estimating equation in which observations are permitted a con-tr...
The sample mean can have poor efficiency relative to various alternative estimators under arbitraril...
In this comment on the discussion paper The power of monitoring: how to make the most of a contamina...
This paper discusses the contribution of Cerioli et al. (Stat Methods Appl, 2018), where robust moni...
These are comments on the invited paper “The power of monitoring: How to make the most of a contami...
Diagnostic tools must rely on robust high-breakdown methodologies to avoid distortion in the presenc...
The authors are to be commended for bringing the critical problem of cellwise outliers to the attent...
We propose nonparametric open-end sequential testing procedures that can detect all types of changes...
Professor Efron is to be congratulated for his innovative and valuable contributions to large-scale ...
Monitoring the properties of single sample robust analyses of multivariate data as a function of bre...
Title: Robust Monitoring Procedures for Dependent Data Author: Ondřej Chochola Department: Departmen...
The development and application of multivariate statistical techniques in process monitoring has gai...
Abbreviation: TMLE, targeted maximum likelihood estimator. We thank Vansteelandt and Keiding (1) for...
I congratulate Kleinman et al. (1) on their thoughtful application of generalized linear mixed model...
In robust statistics it is generally assumed that the majority of the observations is free of contam...
Summary. Huber’s m-estimates use an estimating equation in which observations are permitted a con-tr...
The sample mean can have poor efficiency relative to various alternative estimators under arbitraril...
In this comment on the discussion paper The power of monitoring: how to make the most of a contamina...
This paper discusses the contribution of Cerioli et al. (Stat Methods Appl, 2018), where robust moni...
These are comments on the invited paper “The power of monitoring: How to make the most of a contami...
Diagnostic tools must rely on robust high-breakdown methodologies to avoid distortion in the presenc...
The authors are to be commended for bringing the critical problem of cellwise outliers to the attent...
We propose nonparametric open-end sequential testing procedures that can detect all types of changes...
Professor Efron is to be congratulated for his innovative and valuable contributions to large-scale ...
Monitoring the properties of single sample robust analyses of multivariate data as a function of bre...
Title: Robust Monitoring Procedures for Dependent Data Author: Ondřej Chochola Department: Departmen...
The development and application of multivariate statistical techniques in process monitoring has gai...
Abbreviation: TMLE, targeted maximum likelihood estimator. We thank Vansteelandt and Keiding (1) for...
I congratulate Kleinman et al. (1) on their thoughtful application of generalized linear mixed model...
In robust statistics it is generally assumed that the majority of the observations is free of contam...
Summary. Huber’s m-estimates use an estimating equation in which observations are permitted a con-tr...
The sample mean can have poor efficiency relative to various alternative estimators under arbitraril...