In this paper, we propose 3 new control charts for monitoring the lower Weibull percentiles
under complete data and Type‐II censoring. In transforming the Weibull distribution to the …

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 …

Weibull distribution is one of the most important probability models used in modeling time
between events, system reliability, and particle sizes, among others. Therefore, efficiently …

This paper introduces a new Bayesian control chart to compare two processes by monitoring
the ratio of percentiles of two quality characteristics that are assumed to be independent …

In this article, bootstrap and Shewhart type process control monitoring schemes are
proposed for the quantiles of generalized Weibull distribution under hybrid censoring …

In this paper, we develop a Bayesian approach for monitoring Weibull quantiles under Type
II censoring when prior information is negligible relative to the data. The posterior median of …

This chapter provides a synthetic overview of research activities and main outcomes of
members of the scientific-disciplinary sector “SECS-S/02—Statistica per la Ricerca …

Monitoring changes in the Weibull mean and variance simultaneously is of interest in quality
control. The mean and variance of a Weibull process are determined by its shape and scale …

In this article, a parametric bootstrap control monitoring scheme equivalently known as
control chart, is proposed for process monitoring of percentiles of the generalized …