Comparing Exponentially Weighted Moving Average and Run Rules in Process Control of Semiquantitative Immunogenicity Immunoassays
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منابع مشابه
Average Run Length Performance for Multivariate Exponentially Weighted Moving Average Control Chart Procedure with Application
The drawbacks to multivariate charting schemes is their inability to identify which variable was the source of the signal. The multivariate exponentially weighted moving average (MEWMA) developed by Lowry, et al (1992) is an example of a multivariate charting scheme whose monitoring statistic is unable to determine which variable caused the signal. In this paper, the run length performance of m...
متن کاملExponentially Weighted Moving Average Control Schemes: Properties and Enhancements
Editor’s Note: This article and the first two accompanying discussions were presented orally at the Technomeirics session of the 33rd Annual Fall Technical Conference in Houston, Texas, October 25-27. 1989. The conference was cosponsored by the Chemical and Process Industries and the Statistics Divisions of the American Society for Quality Control and the Section on Physical and Engineering Sci...
متن کاملGrouped Data Exponentially Weighted Moving Average Control Charts
In the manufacture of metal fasteners in a progressive die operation, and other industrial situations, important quality dimensions cannot be measured on a continuous scale, and parts are classified into groups using a step gauge. This article proposes a version of exponentially weighted moving average (EWMA) control charts applicable to monitoring the grouped data for process shifts. The run l...
متن کاملUsing exponentially weighted moving average (EWMA) charts
1. Unlike X -R and Individuals charts (without the Western Electric Handbook rules which aim to increase sensitivity), all of the data collected over time may be used to determine the control status of a process. 2. The EWMA is often superior to the CUSUM charting technique for detecting "larger" shifts. 3. EWMA schemes may be applied for monitoring standard deviations in addition to the proces...
متن کاملThe Average Run Length Performance of a Multivariate Exponentially Weighted Moving Average Control Chart Procedure with Application
One of the most powerful tools in quality control is the statistical control chart. First developed in the 1920's by Walter Shewhart, the control chart found widespread use during World War II and has been employed, with various modifications ever since. The drawbacks to multivariate charting schemes is their inability to identify which variable was the source of the signal. The multivariate ex...
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ژورنال
عنوان ژورنال: The AAPS Journal
سال: 2009
ISSN: 1550-7416
DOI: 10.1208/s12248-009-9166-4