Results 21 to 30 of about 940,185 (248)

Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data

open access: yesAxioms, 2021
Statistical monitoring tools are well established in the literature, creating organizational cultures such as Six Sigma or Total Quality Management. Nevertheless, most of this literature is based on the normality assumption, e.g., based on the law of ...
Anderson Fonseca   +6 more
doaj   +1 more source

Effective elastic properties of randomly distributed void models for porous materials [PDF]

open access: yes, 2010
This is the post-print version of the final paper published in International Journal of Mechanical Sciences. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections,
B. Li   +12 more
core   +1 more source

On the Efficient Monitoring of Multivariate Processes with Unknown Parameters

open access: yesMathematics, 2020
Control charts are commonly used tools that deal with monitoring of process parameters in an efficient manner. Multivariate control charts are more practical and are of greater importance for timely detection of assignable causes in multiple quality ...
Nasir Abbas   +4 more
doaj   +1 more source

Monitoring the Weibull Scale Parameter Based on Type I Censored Data Using a Modified EWMA Control Chart

open access: yesAxioms, 2023
In industrial production, the exponentially weighted moving average scheme is widely used to monitor shifts in product quality, especially small-to-moderate shifts.
Dan Yu   +5 more
doaj   +1 more source

Novel modeling of task versus rest brain state predictability using a dynamic time warping spectrum: comparisons and contrasts with other standard measures of brain dynamics [PDF]

open access: yes, 2016
Dynamic time warping, or DTW, is a powerful and domain-general sequence alignment method for computing a similarity measure. Such dynamic programming-based techniques like DTW are now the backbone and driver of most bioinformatics methods and discoveries.
Dinov, M   +5 more
core   +2 more sources

Monitoring Betaine Using Interval Time Between Events Control Chart

open access: yesFrontiers in Nutrition, 2022
A generalization of moving average (MA) control chart for the exponential distribution under classical statistics is presented in this article. The designing of the MA control chart for the exponential distribution under neutrosophic statistics is also ...
Muhammad Saleem   +2 more
doaj   +1 more source

Monitoring Industrial Process using a Robust Modified Mean Chart

open access: yesAustrian Journal of Statistics, 2019
Shewhart control chart is the most popular and widely used Statistical process Control tool to monitor process. It is developed under the assumption of independent and normally distributed process. In order to control process mean and standard deviation,
Marangattu R. Sindhumol   +2 more
doaj   +1 more source

Accessing extremes of mid-latitudinal wave activity: methodology and application [PDF]

open access: yes, 2009
A statistical methodology is proposed and tested for the analysis of extreme values of atmospheric wave activity at mid-latitudes. The adopted methods are the classical block-maximum and peak over threshold, respectively based on the generalized ...
Dell'Aquila, Alessandro   +5 more
core   +1 more source

A Novel Moving Average–Exponentiated Exponentially Weighted Moving Average (MA-Exp-EWMA) Control Chart for Detecting Small Shifts

open access: yesMathematics
Process monitoring plays a vital role in ensuring quality stability, and, operational efficiency across fields such as manufacturing, finance, biomedical science, and environmental monitoring.
Jun-Hao Lu, Chang-Yun Lin
doaj   +1 more source

A study on the performances of the run sum X̄ chart under the gamma process [PDF]

open access: yesITM Web of Conferences
The run sum (RS) X̄ chart is known as a simple and powerful tool for monitoring the mean of a process. Most developments of the RS X̄ chart assume that the underlying process comes from a normal distribution.
Le Goh Kai   +4 more
doaj   +1 more source

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