In this paper we investigate the performance of semi-empirical Bayesian control charts to monitor the percentiles and the shape parameter of a Weibull distribution. These charts have been recently introduced in literature, where it is shown how Weibull-distributed data need specifically designed control schemes and how a Bayesian approach can help in such cases. The main focus of this paper, instead, is a simulation study of the charts’ performance. To this aim, a large Monte Carlo analysis is presented, highlighting the main effects on the chart performance of single/combined changes in the Weibull parameters. Some Weibull contour plots are presented to visualize the investigated technological scenarios. An illustrative example using a ref...
This article deals with the construction of an X control chart using the Bayesian perspective. We ob...
This work proposes a new Shewhart-type control chart of the Weibull percentile (i.e. the reliable li...
This paper presents a new Weibull family of distributions. The compatibility of the newly developed ...
In this paper we investigate the performance of semi-empirical Bayesian control charts to monitor th...
This paper develops a Bayesian control chart for the percentiles of the Weibull distribution, when b...
This paper introduces a new Bayesian control chart to compare two processes by monitoring the ratio ...
Purpose: This work proposes an innovative control chart of the Weibull percentiles using Bayesian es...
Abstract: Shewhart control limits for individual observations are traditionally based on the average...
The general objective of the research study underlying this thesis was to develop innovative charts ...
The study proposes control limits for X and charts using Bayesian framework assuming the normality o...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
we present Shewhart type Z ̅ and S2 control charts for monitoring individual or joint shifts in th...
The Weibull distribution is one of the most popular distributions for lifetime modeling. However, th...
In this paper, we present Shewhart type Z ̅ and S2 control charts for monitoring individual or joi...
This article presents deviation based exponentially weighted moving average control charts to monito...
This article deals with the construction of an X control chart using the Bayesian perspective. We ob...
This work proposes a new Shewhart-type control chart of the Weibull percentile (i.e. the reliable li...
This paper presents a new Weibull family of distributions. The compatibility of the newly developed ...
In this paper we investigate the performance of semi-empirical Bayesian control charts to monitor th...
This paper develops a Bayesian control chart for the percentiles of the Weibull distribution, when b...
This paper introduces a new Bayesian control chart to compare two processes by monitoring the ratio ...
Purpose: This work proposes an innovative control chart of the Weibull percentiles using Bayesian es...
Abstract: Shewhart control limits for individual observations are traditionally based on the average...
The general objective of the research study underlying this thesis was to develop innovative charts ...
The study proposes control limits for X and charts using Bayesian framework assuming the normality o...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
we present Shewhart type Z ̅ and S2 control charts for monitoring individual or joint shifts in th...
The Weibull distribution is one of the most popular distributions for lifetime modeling. However, th...
In this paper, we present Shewhart type Z ̅ and S2 control charts for monitoring individual or joi...
This article presents deviation based exponentially weighted moving average control charts to monito...
This article deals with the construction of an X control chart using the Bayesian perspective. We ob...
This work proposes a new Shewhart-type control chart of the Weibull percentile (i.e. the reliable li...
This paper presents a new Weibull family of distributions. The compatibility of the newly developed ...