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Potentials of CHAMP RO retrievals for monitoring the mean tropospheric water vapor distribution on a global scale are presented.
The ¯¯¯X and CUSUM control charts are used most widely for monitoring the mean of a quality characteristic x.
This article proposes a Generalized CRL chart (namely GCRL chart) for monitoring the mean of a measurable quality characteristic x under 100% inspection.
The proposed approach could greatly reduce the expenditures of time and cost in monitoring the mean SWC for the deep profile at various spatial scales and could be applied well to the regions with similar hydrological and climatic conditions.
Several individuals control chart schemes are contrasted for the problem of monitoring the mean and variance of a normal process variable, with special consideration given to monitoring process analyzers, such as electrochemical devices, chromatographs, potentiometers, refractometers, and spectrometers.
Stemming from the ideas of the generalized likelihood ratio test and the multivariate exponentially weighted moving covariance, new control charts are proposed for simultaneously monitoring the mean vector and the covariance matrix of a multivariate normal process.
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The two-step monitoring scheme uses an ¯¯¯¯X chart to continuously monitor the mean of the process characteristics.
Control charts with exponentially weighted moving average (EWMA) statistics (mean and variance) are used to jointly monitor the mean and variance of a process.
The t chart and adjusted t chart, with probabilistic control limits, are suitable alternatives to monitor the mean time between failures.
In this article, we evaluate the properties of RLCUSUM control schemes used to monitor the mean of contaminated normally distributed processes.
This chart is able to monitor the mean and variance of a variable x simultaneously by inspecting the absolute sample shift |x−μ0| (where μ0 is the in-control mean or target value of x).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com