Showing 1 - 6 of 6
Abstract This paper presents statistical inference procedures from S pn , a process capability index for asymmetrical processes proposed by Boyles. From the frequentist perspective, a conservative lower confidence bound is given. From the Bayesian perspective, the SIR algorithm is used to obtain...
Persistent link: https://www.econbiz.de/10014590750
Abstract In a strength-stress interference model, we are interested in estimating the structural reliability of a system. Here we present Bayesian procedures to estimate the structural reliability and other relevant parameters when covariates are incorporated in the model. Numerical examples...
Persistent link: https://www.econbiz.de/10014590763
Abstract Process Capability indices have become popular for describing how well a process meets specified tolerances. The lack of affinity with the process nonconformance probability p and the difficulty of dealing with the sampling distribution of their natural estimators affect greatly the use...
Persistent link: https://www.econbiz.de/10014590773
Abstract The method to measure the market risk (which stocks are exposed) by the slope coefficient of a linear regression model (that relates the returns of the asset and the returns of a market index) is known as Market Model. When applying this method it is extremely important to check the...
Persistent link: https://www.econbiz.de/10014590897
Abstract This paper compares semi-economic -control charts and -R control charts assuming two different discrete distributions for the length of the in-control period of a production process with regeneration points given by the alarms signals. Sample sizes and control limits for a set of...
Persistent link: https://www.econbiz.de/10014590738
Abstract In this paper the use of Collani's statistic for monitoring simultaneously process mean and process variance is investigated by a comparison with the more popular chart and chart, respectively. The comparison is performed by means of an economic design of the charts assuming two...
Persistent link: https://www.econbiz.de/10014590788