Results 161 to 170 of about 1,881 (223)

shinyMBA: a novel R shiny application for quality control of the multiplex bead assay for serosurveillance studies. [PDF]

Sci Rep
Matson Z, Cooley G, Parameswaran N, Simon A, Bankamp B, Coughlin MM.   +5 more
europepmc   +1 more source

The Comparison of EWMA control chart with shewhart and CUSUM control charts by simulation

, 1997
openaire   +1 more source

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A Shewhart chart with alternated charting statistic to control multivariate Poisson processes

Computers and Industrial Engineering, 2020
Abstract In this article, a Shewhart c chart with alternating charting statistic (ACS Poisson chart) is proposed to control multivariate Poisson processes. Considering the bivariate case, where we have the occurrence of X and Y defects; if the current sample point is cx (cy), the number of X (Y) defects, then the next sample point will be cy (cx ...
Roberto Campos Leoni, Antonio F B Costa
exaly   +2 more sources

Combined Shewhart–EWMA control charts with estimated parameters

Journal of Statistical Computation and Simulation, 2009
Shewhart and EWMA control charts can be suitably combined to obtain a simple monitoring scheme sensitive to both large and small shifts in the process mean. So far, the performance of the combined Shewhart–EWMA (CSEWMA) has been investigated under the assumption that the process parameters are known.
CAPIZZI, GIOVANNA, MASAROTTO, GUIDO
openaire   +2 more sources

Monitoring bivariate and trivariate mean vectors with a Shewhart chart

Quality and Reliability Engineering International, 2017
In this article, we propose the use of the mean chart to control multivariate processes. The basic idea is to control the mean vector of bivariate (X, Y) and trivariate (X, Y, Z) processes by alternating the charting statistic of the Shewhart chart.
Roberto Campos Leoni, Antonio F B Costa
exaly   +3 more sources

Non-parametric Shewhart control charts

Journal of Nonparametric Statistics, 2005
Consider a training sample of independent random variables having an unknown strongly unimodal distribution.
Ion, R.A., Klaassen, C.A.J.
openaire   +2 more sources

Shewhart Control Charts in New Perspective

Sequential Analysis, 2007
The effects of estimating parameters and the violation of the assumption of normality when dealing with control charts are discussed. Corrections for estimating errors and extensions of the normal control chart to parametric and nonparametric charts are investigated.
Albers, Willem, Kallenberg, Wilbert C.M.
openaire   +1 more source