Results 81 to 90 of about 6,536 (217)

Measuring variations in healthcare data using run charts and statistical process control charts: a survey of general physicians attending the quality improvement workshop

Internal Medicine Journal, Volume 55, Issue 2, Page 308-312, February 2025.
ABSTRACT General physicians as system leaders play a significant role in quality improvement (QI) initiatives within respective health services. However, there are very few formal QI training programmes available for general physicians in Australia. This survey described the experiences of attendees at the 2024 Internal Medicine Society of Australia ...
Ar Kar Aung, Helen Mertin, Alex Wong, Douglas F. Johnson, Jennifer Inhae Lee   +4 more
wiley   +1 more source

THE MIXED UNIVARIATE CONTROL CHART EWMA AND CUSUM FOR FLAVOUR PRODUCTION QUALITY PROCESS MONITORING

Jurnal Matematika UNAND
A control chart is an important statistical technique used to monitor the average quality of a process or dispersion. Shewhart control chart is used to detect larger disturbances in process parameters.
Surya Puspita Sari, Maiyastri Maiyastri, Dodi Devianto   +2 more
doaj   +1 more source

Shewhart methodology for modelling financial series : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Palmerston North, New Zealand [PDF]

, 2017
Quality management techniques are widely used in industrial applications for monitoring observable process variation. Among them, the scientific notion of Shewhart principles is vital for understating variations in any type of process or service.
Premarathna, Liyana Pathiranaralalage Nadeeka Dilrukshi
core  

Multivariate control charts based on Bayesian state space models

, 2006
This paper develops a new multivariate control charting method for vector autocorrelated and serially correlated processes. The main idea is to propose a Bayesian multivariate local level model, which is a generalization of the Shewhart-Deming model for ...
Ameen, Ameen, Bersimis, Borror, Box, Brown, Chatfield, Cheng, Costa, de Magalhães, del Castillo, Deming, Durbin, Dyer, Goodwin, Gupta, Harris, Jiang, Kalgonda, Kourti, Liu, Lowry, Maravelakis, Mason, Montgomery, Montgomery, Noorossana, Pan, Pan, Salvador, Schmid, Schmid, Shiau, Sullivan, Surtihadi, Tagaras, Tagaras, Tracy, Triantafyllopoulos, Triantafyllopoulos, Triantafyllopoulos, Triantafyllopoulos, VanBrackle, Vargas, Vasilopoulos, Watkins, West, Ye, Yeh, Yeh   +49 more
core   +1 more source

On the reliability of Shewhart-type control charts for multivariate process variability [PDF]

, 2016
We show that in the current practice of multivariate process variability monitoring, the reliability of Shewhart-type control charts cannot be measured except when the sub-group size n tends to infinity. However, the requirement of large n is meaningless
Djauhari, Maman Abdurrachman, Lee, Siaw Li, Mohd Salleh, Rohayu, Zolkeply, Zunnaaim   +3 more
core   +1 more source

General adapted‐threshold monitoring in discrete environments and rules for imbalanced classes

Statistica Neerlandica, Volume 79, Issue 1, February 2025.
Having in mind applications in statistics and machine learning such as individualized care monitoring, or watermark detection in large language models, we consider the following general setting: When monitoring a sequence of observations, Xt, there may be additional information, Zt, on the environment which should be used to design the monitoring ...
Ansgar Steland, Ewaryst Rafajłowicz, Wojciech Rafajłowicz   +2 more
wiley   +1 more source

A control chart for monitoring image processes based on convolutional neural networks

Statistica Neerlandica, Volume 79, Issue 1, February 2025.
In this paper, the problem of monitoring image processes with spatially correlated pixels over time is considered. An exponentially weighted moving average (EWMA) control chart for monitoring such processes based on a convolutional neural network (CNN) is proposed.
Yarema Okhrin, Wolfgang Schmid, Ivan Semeniuk   +2 more
wiley   +1 more source

PETA KENDALI X DENGAN UKURAN SAMPEL DAN INTERVAL PENGAMBILAN SAMPEL YANG BERVARIASI

Jurnal Teknik Industri, 2000
Shewhart X chart is widely used in statistical process control for monitoring variable data and has shown good performance in detecting large mean shift but less sensitive in detecting moderate to small process shift.
Tanti Octavia, Siana Halim, Pauline Astari Singgih   +2 more
doaj  

Alternative Shewhart-type charts for grouped observations [PDF]

, 2004
Classical Shewhart control charts based on groups of observations use the average as statistic to decide whether a signal should be produced or not. Here several other statistics are investigated as well.
Albers, W., Kallenberg, W.C.M.
core   +1 more source

A general class of entropy based control charts

, 2017
We introduce a new class of Shewhart control charts, namely the phi-chart. This new class is based on the cumulative paired phi-divergence that generalizes both the cumulative (residual) entropy and the differential entropy.
Konopik, Jens, Mangold, Benedikt
core