Results 81 to 90 of about 4,823 (188)
Designing an efficient adaptive EWMA model for normal process with engineering applications
Ain Shams Engineering JournalStability in process parameters is required to ensure the quality of the finished item. Control charts, as one of the critical parts of statistical process monitoring (SPM), have seen widespread use across many disciplines for detecting and responding to
Zahid Rasheed +5 more
doaj +1 more source
Applied Stochastic Models in Business and Industry, Volume 41, Issue 2, March/April 2025.ABSTRACT The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a stochastic model (e.g., a Gaussian process or a Dynamic Linear Model) can be subject to ...
Fabrizio Ruggeri +18 more
wiley +1 more source
EWMA Chart and Measurement Error [PDF]
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control ...
Maravelakis, Petros +2 more
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Nonparametric Double EWMA Control Chart for Process Monitoring
Revista Colombiana de Estadística, 2016 <p>In monitoring process parameters, we assume normality of the quality characteristic of interest, which is an ideal assumption. In many practical sit- uations, we may not know the distributional behavior of the data, and hence, the need arises use nonparametric techniques.
RIAZ, MUHAMMAD, ABBASI, SADDAM AKBER
openaire +5 more sources
Prediction of stock prices with automated reinforced learning algorithms
Expert Systems, Volume 42, Issue 2, February 2025.Abstract Predicting stock price movements remains a major challenge in time series analysis. Despite extensive research on various machine learning techniques, few models have consistently achieved success in automated stock trading. One of the main challenges in stock price forecasting is that the optimal model changes over time due to market dynamics.
Said Yasin +2 more
wiley +1 more source
Eyes wide shut? The US house market bubble through the lense of statistical process control [PDF]
, 2012 While most economists agree that the recent worldwide financial crises evolved as a consequence of the US house price bubble, the related literature yet failed to deliver a consensus on the question when exactly the bubble started developing.
Berlemann, Michael +2 more
core +2 more sources
Efficient Phase II Monitoring Methods for Linear Profiles Under the Random Effect Model
IEEE Access, 2019 A profile is a functional relationship between two or more variables used to monitor the process performance and its quality. Sometimes, the aforementioned relationship is linear or nonlinear depending upon the situation. A monitoring method based on the
Tahir Abbas +3 more
doaj +1 more source
Production, 2011 In practice, sometimes the process data did not come from a known population distribution. So the commonly used Shewhart variables control charts are not suitable since their performance could not be properly evaluated.
Yang Su-Fen +4 more
doaj
A Nonparametric Multivariate Control Chart Based on Data Depth [PDF]
For the design of most multivariate control charts, it is assumed that the observations follow a multivariate normal distribution. In practice, this assumption is rarely satisfied.
Hering, Franz +2 more
core
On detecting jumps in time series: Nonparametric setting [PDF]
Motivated by applications in statistical quality control and signal analysis, we propose a sequential detection procedure which is designed to detect structural changes, in particular jumps, immediately.
Pawlak, Mirek +2 more
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