activity
20132015
most citedA note on using Bayes priors for Weibull distribution

6 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

stat.CO2015

A first look at the performances of a Bayesian chart to monitor the ratio of two Weibull percentiles

Pasquale Erto

The aim of the present work is to investigate the performances of a specific Bayesian control chart used to compare two processes. The chart monitors the ratio of the percentiles o…

math.ST2014

Plotting positions close to the exact unbiased solution: application to the Pozzuoli's bradeysism earthquake data

Pasquale Erto, Antonio Lepore

Graphical techniques are recommended for critical applications in order to share information with non-statisticians, since they allow for a visual analysis and helpful understandin…

math.ST2013★ 6 cited

A note on using Bayes priors for Weibull distribution

Pasquale Erto, Massimiliano Giorgio

In this note, the practical use of priors for Bayes estimators, of the two parameters of the Weibull reliability model, is discussed in a technological context. The meaning of the…

stat.ME2013

A semi-empirical Bayesian chart to monitor Weibull percentiles

Pasquale Erto, Giuliana Pallotta, Christina M. Mastrangelo

This paper develops a Bayesian control chart for the percentiles of the Weibull distribution, when both its in-control and out-of-control parameters are unknown. The Bayesian appro…

stat.ME2013★ 5 cited

The Inverse Weibull Survival Distribution and its Proper Application

Pasquale Erto

The peculiar properties of the Inverse Weibull (IW) distribution are shown. It is proven that the IW distribution is one of the few models having upside- down bathtub (UBT) shaped…

stat.AP2013★ 1 cited

A note on monitoring ratios of two Weibull percentiles

Pasquale Erto

This note introduces a new Bayesian control chart to compare two processes by monitoring the ratio of their percentiles under Weibull assumption. Both in-control and out-of-control…