Results 151 to 160 of about 3,947 (212)

Max-mixed EWMA control chart for joint monitoring of mean and variance: an application to yogurt packing process. [PDF]

open access: yesSci Rep
Malik S   +6 more
europepmc   +1 more source

Agile human activity recognition for wearable devices based on online incremental learning. [PDF]

open access: yesFront Public Health
Fan L   +6 more
europepmc   +1 more source

Adaptive EWMA control charts for the Rayleigh distribution

open access: yesComputers & Industrial Engineering
Aamir Saghir   +3 more
openaire   +1 more source

Regression‐adjusted Poisson EWMA control chart

Quality and Reliability Engineering International, 2021
AbstractExponentially weighted moving average (EWMA) control chart has a significant effect in improving product quality and is widely used in various fields. In addition to continuous data, there are many Count Data in life that need to be monitored.
Hongling Wen, Liu Liu, Xinlong Yan
openaire   +1 more source

Poisson EWMA Control Charts

Journal of Quality Technology, 1998
An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figure..
Borror, Connie M.   +2 more
openaire   +1 more source

Composite EWMA Control Charts

Communications in Statistics - Simulation and Computation, 2004
We propose a new charting procedure, combining two or more Exponentially Weighted Moving Averages (EWMAs), which we call a Composite EWMA (CEWMA) Control Chart. In the case of two EWMAs, the CEWMA chart corresponds to the usual combined Shewhart-EWMA chart, although our plotting procedure remain, we feel, an improvement in application and ...
Lingyun Zhang   +3 more
openaire   +1 more source

A Multivariate Sign EWMA Control Chart

Technometrics, 2011
Nonparametric control charts are useful in statistical process control (SPC) when there is a lack of or limited knowledge about the underlying process distribution, especially when the process measurement is multivariate. This article develops a new multivariate SPC methodology for monitoring location parameters.
Zou, Changliang, Tsung, Fu-gee
openaire   +2 more sources

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