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 parameters
Background: Monitoring to identify disease recurrence or progression is common, often with limited e...
PhD ThesisA new Multivariate Statistical Process Monitoring (MSPM) system, which comprises of three ...
This thesis investigates three research problems which arise in multivariate data and censored regre...
In this comment on the discussion paper The power of monitoring: how to make the most of a contamina...
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. In this comment on the discussion pap...
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...
This paper discusses the contribution of Cerioli et al. (Stat Methods Appl, 2018), where robust moni...
Monitoring the properties of single sample robust analyses of multivariate data as a function of bre...
The ability to monitor processes using control charts for contaminated environments is vital. Typica...
We complement the work of Cerioli, Riani, Atkinson and Corbellini by discussing monitoring in the c...
El autor realiza dos observaciones acerca del artículo "Robust estimation of multivariate location a...
Matching is a common approach to reduce bias in observed covariates to draw reliable causal inferenc...
In robust statistics it is generally assumed that the majority of the observations is free of contam...
Data sets can be very large, highly multidimensional and of mixed quality. This thesis provides fea...
Background: Monitoring to identify disease recurrence or progression is common, often with limited e...
PhD ThesisA new Multivariate Statistical Process Monitoring (MSPM) system, which comprises of three ...
This thesis investigates three research problems which arise in multivariate data and censored regre...
In this comment on the discussion paper The power of monitoring: how to make the most of a contamina...
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. In this comment on the discussion pap...
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...
This paper discusses the contribution of Cerioli et al. (Stat Methods Appl, 2018), where robust moni...
Monitoring the properties of single sample robust analyses of multivariate data as a function of bre...
The ability to monitor processes using control charts for contaminated environments is vital. Typica...
We complement the work of Cerioli, Riani, Atkinson and Corbellini by discussing monitoring in the c...
El autor realiza dos observaciones acerca del artículo "Robust estimation of multivariate location a...
Matching is a common approach to reduce bias in observed covariates to draw reliable causal inferenc...
In robust statistics it is generally assumed that the majority of the observations is free of contam...
Data sets can be very large, highly multidimensional and of mixed quality. This thesis provides fea...
Background: Monitoring to identify disease recurrence or progression is common, often with limited e...
PhD ThesisA new Multivariate Statistical Process Monitoring (MSPM) system, which comprises of three ...
This thesis investigates three research problems which arise in multivariate data and censored regre...