Bar charts and pie charts are traditional ways of displaying trends and proportions in a data set. However, static charts don't scale well. We introduce a technique which does scale, an interactive browser design which uses aggregation and zooming to support bar and pie charts with thousands of items. Further, once a chart has many elements a user needs to be able to explore subsets of the data...

Traditional statistical process control charts used to monitor key process variables are based on the assumption that measurements are independent and identically distributed about a target value. In practice they are not and often are actually correlated. Reliance on univariate charts can lead to misleading conclusions. This paper addresses the methods for improving the quality of industrial p...

the map and the model designed by a designer and presented to a manufacturer in the form of a map is the result of his knowledge and innovation. the manufacturer, in turn, uses his best effort to produce a part accordingly. however, because of production problems and raw material, producing a precise part is very difficult and costly. one of the most important problems in this regard is designi...

Quick detection of an assignable cause is necessary for process accuracy with respect to the specifications. The aim this study monitor time and magnitude processes based on unit-interval data. To end, maximum exponentially weighted moving average (Max-EWMA) control chart simultaneous monitoring event proposed. be precise, beta unit gamma distributions are considered develop Max-EWMA chart. cha...

Process control charts are proven techniques for improving quality. Specifying the control limits is the most important step in designing a control chart. The presence of outliers may extremely affect the estimates of parameters using classical methods. Robust estimators which are not affected by outliers or the small departures from the model assumptions are applied in this paper to specify th...

Recent studies have shown that the variable sampling interval (VSI) scheme helps practitioners detect process shifts more quickly than the classical scheme (FRS). In this paper, the economically and statistically optimal design of the VSI T2 control chart for monitoring the process mean vector is investigated. The cost model proposed by Lorenzen and Vance (1986) is minimized through a genetic a...

introduction: population-based mortality statistics are derived from the information recorded on death certificates. this information is used for many important purposes, such as development of public health programs and allocation of health care resources. therefore, the accuracy of death certificate data is important. the aim of this study was to evaluate the quality of death certificates rec...

Although its cause, jaundice in the newborn, is extremely common, the disabling neurological disorder kernicterus is very rare. Kernicterus may be prevented by selecting those infants who are at risk of extreme jaundice or who may be particularly vulnerable to bilirubin neurotoxicity. Because the tools for achieving that goal are inadequate, a secondary strategy is needed. This involves a plan ...

The map and the model designed by a designer and presented to a manufacturer in the form of a map is the result of his knowledge and innovation. The manufacturer, in turn, uses his best effort to produce a part accordingly. However, because of production problems and raw material, producing a precise part is very difficult and costly. One of the most important problems in this regard is designi...

This article examines the performance of two one-class classification-based control charts through a real industrial application. These two control charts are the kernel distance–based control chart, known as the K chart, and the k-nearest neighbour data description-based control chart, referred to as the KNN chart. We studied the effectiveness of both charts in detecting out-ofcontrol observat...