Hotelling T control chart is one of the most important chart used to statistical quality control in the manufacture processes. However, this chart is sensitive to the non normal data and therefore, must be modified to improve its behavior with this kind of data. In this paper, we propose two new alternatives charts based on change the usual mean and covariance estimator by robust location and s...

Consumers make complaint about the state of home-made goods. Some consumers claim that foreign goods are high quality compared to We discovered many indigenous industries no more in existence and so this brought desire carry out research work as find whether products from our brewery industry fall within acceptance region devoid consumers’ complaint. For clarity easy handling topic, data were c...

Mortality modelling is a practical method for the government and various fields to obtain picture of mortality up specific age particular year. However, some information on phenomenon may remain in residual vector be unrevealed from models. We handle this issue by employing multivariate control chart discover substantial cohort changes behavior that models still need address. The Hotelling T2 a...

The goal of engineering process control (EPC) is to minimize variability by adjusting some manipulative process variables. The goal of statistical process control (SPC) is to reduce variability by monitoring and eliminating assignable causes of variation. As suggested by Box and Kramer and others, it is possible to reduce both special cause and common cause variations by integrating EPC and SPC...

In this study, we have conducted comparative analysis between false alarm rate (FAR) and average run length (ARL) based control charts with runs rules. regard, considered various univariate multivariate which include mean, standard deviation, variance, Hotelling, generalized variance. For evaluation purpose, used actual rate, power, in-control length, out-of-control as performance indicators. F...

BACKGROUND In this paper we apply the principal-component analysis filter (Hotelling filter) to reduce noise from dynamic positron-emission tomography (PET) patient data, for a number of different radio-tracer molecules. We furthermore show how preprocessing images with this filter improves parametric images created from such dynamic sequence.We use zero-mean unit variance normalization, prior ...

Some quality control schemes have been developed when several related quality characteristics are to be monitored. The familiar multivariate process monitoring and control procedure is the Hotelling’s T 2 control chart for monitoring the mean vector of the process. It is a direct analog of the univariate shewhart x̄ chart. As in the case of univariate, the ARL improvements are very important par...

Abstract When monitoring industrial processes, a Statistical Process Control tool, such as multivariate Hotelling T 2 chart is frequently used to evaluate multiple quality characteristics. However, research into the use of charts for survey fieldwork–essentially production process in which data sets collected by means interviews are produced–has been scant date. In this study, using from eighth...

Blood vessel segmentation is the first step in the process of automated diagnosis of cardiovascular diseases using retinal images. Unlike previous work described in literature, which uses rule-based methods or classical supervised learning algorithms, we applied Lattice Neural Networks with Dendritic Processing (LNNDP) to solve this problem. LNNDP differ from traditional neural networks in the ...