Results 21 to 30 of about 205,525 (256)

Modeling the patient mix for risk-adjusted CUSUM charts [PDF]

open access: yesStatistical Methods in Medical Research, 2022
The improvement of surgical quality and the corresponding early detection of its changes is of increasing importance. To this end, sequential monitoring procedures such as the risk-adjusted CUmulative SUM chart are frequently applied. The patient risk score population (patient mix), which considers the patients’ perioperative risk, is a core component
openaire   +2 more sources

Performance of new nonparametric Tukey modified exponentially weighted moving average—Moving average control chart

open access: yesPLoS ONE, 2022
Control charts are an amazing and essential statistical process control (SPC) instrument that is commonly used in monitoring systems to detect a specific defect in the procedure.
Khanittha Talordphop   +2 more
doaj   +2 more sources

Exponentially weighted moving average-Moving average charts for monitoring the process mean.

open access: yesPLoS ONE, 2020
This research aimed to propose a newly-mixed control chart called the Exponentially Weighted Moving Average-Moving Average Chart (EWMA-MA) to detect the mean change in a process underlying symmetric and asymmetric distributions.
Saowanit Sukparungsee   +2 more
doaj   +1 more source

Design Tukey’s Control Chart and mix with CUSUM Control Chart

open access: yesJournal of Zankoy Sulaimani - Part A, 2022
Statistical process control is a collection of valuable tools for detecting alteration in a process. It has wide application in many areas field and other fields where variation is being monitored. The variation may be a natural cause variation or a particular cause variation.
openaire   +1 more source

An EWMA-DiD Control Chart to Capture Small Shifts in the Process Average Using Auxiliary Information

open access: yesTechnologies, 2018
Among the Statistical Process Control (SPC) techniques, control charts are considered to be high weight-age due to their effectiveness in process variation.
Muhammad Anwar Mughal   +2 more
doaj   +1 more source

Efficient Monitoring of a Parameter of Non-Normal Process Using a Robust Efficient Control Chart: A Comparative Study

open access: yesMathematics, 2023
The control chart is a fundamental tool in statistical process control (SPC), widely employed in manufacturing and construction industries for process monitoring with the primary objective of maintaining quality standards and improving operational ...
Aamir Majeed Chaudhary   +5 more
doaj   +1 more source

A Bayesian Control Chart for Monitoring Process Variance

open access: yesApplied Sciences, 2021
Automation in the service industry is emerging as a new wave of industrial revolution. Standardization and consistency of service quality is an important part of the automation process.
Chien-Hua Lin   +3 more
doaj   +1 more source

The performance of the truncated mixed control chart

open access: yesCommunications in Statistics - Theory and Methods, 2018
When the mixed chart proposed by Aslam et al. (2015) is in use, the sample items are classified as defective or not defective and, depending on the number of defectives, the quality characteristic ...
Roberto Campos Leoni   +1 more
openaire   +3 more sources

Monitoring of Linear Profiles Using Linear Mixed Model in the Presence of Measurement Errors

open access: yesMathematics, 2022
In the application of control charts, most of the research in profile monitoring is based on accurate measurements. Measurement errors, however, often exist in many manufacturing and service environments.
Wenhui Liu, Zhonghua Li, Zhaojun Wang
doaj   +1 more source

Key Technology of Mixed Matching Circuit for Miniaturizing Dual-Band Antenna

open access: yesIEEE Access, 2022
A mixed matching circuit for miniaturizing dual-band antenna is introduced and verified in this study. Two L-shaped matching circuit for miniaturization are cascaded to interpret the theory of operation in accordance with the dual-band allocations on the
Daoheng Zhu   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy