Titlebook: Distribution-Free Methods for Statistical Process Monitoring and Control; Markos V. Koutras,Ioannis S. Triantafyllou Book 2020 Springer Na

填料

泥沼

The Shewhart Sign Chart with Ties: Performance and Alternatives,ows that the best strategy simply consists in implementing a Bernoulli trial approach: in practice, ties are reconsidered by . chance as being greater or smaller than the monitored population quantile. We quantitatively show that this approach allows the distribution-free properties of the Shewhart

medieval

CRAFT

A Class of Distribution-Free Exponentially Weighted Moving Average Schemes for Joint Monitoring of monitoring the scale parameter. Such decomposition of the Cucconi statistic is not unique, and one can split it into three different ways. Therefore, we design three more cEWMA schemes corresponding to the decompositions of the Cucconi statistic. We discuss the implementation steps along with an ill

運(yùn)動(dòng)性

Recent Advances on Univariate Distribution-Free Shewhart-Type Control Charts,e present literature review depict the most recent developments on the topic, since it has been chosen to discuss only the advances appeared during the last decade. For each distribution-free control chart, the general setup and several performance characteristics are presented in some detail.

溝通

Multivariate Nonparametric Control Charts Based on Ordered Samples, Signs and Ranks,iate case are not equally weighted as the ones that have already been done in the univariate case. In the present work, we firstly review the recent literature of nonparametric control charts, giving emphasis on multivariate schemes, which make use of order statistics, signs or ranks for the computa

Madrigal

The Shewhart Sign Chart with Ties: Performance and Alternatives,e normality assumption for observations. To the best of our knowledge, there is not yet a thorough understanding of what happens to the statistical properties of the . control chart in the presence of observations tied to the monitored population quantile, for example, the median: this is an event o

BUDGE

Statistical Process Monitoring and the Issue of Assumptions in Practice: Normality and IndependenceThese assumptions all play important roles in practice, in the solution that is proposed for the problem at hand. Since the proposal is based on these assumptions, it is important that they are thoroughly investigated and properly validated, so that the results can be depended on. In this paper, we

Grandstand

ENACT