Results 31 to 40 of about 1,751 (185)
Scientific Reports, 2023 Control charts, including exponentially moving average (EWMA) , are valuable for efficiently detecting small to moderate shifts. This study introduces a Bayesian EWMA control chart that employs ranked set sampling (RSS) with known prior information and ...
Imad Khan +4 more
doaj +1 more source
Optimal Design of Multiple Moving Average Charts
Quality and Reliability Engineering International, EarlyView.ABSTRACT The moving average control chart has been used to detect changes in a process mean more quickly than the Shewhart chart. The MA chart takes an unweighted average of the most recent w$w$ values and uses this to make an inference regarding the stability of the process.
Steven E. Rigdon
wiley +1 more source
A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes
The Annals of Statistics, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Han, Dong, Tsung, Fu-gee
openaire +3 more sources
High‐Dimensional Cumulative Sum Control Charts for Industrial Measurement Systems
Quality and Reliability Engineering International, EarlyView.ABSTRACT High dimensional sensing in modern factories and energy assets produces thousands of correlated signals. Detecting small process shifts is challenging because many classical multivariate charts lose power or become unstable. We present two cumulative sum procedures for two sample monitoring that remain effective when the number of variables is
Osama Alhadi +3 more
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.Abstract Vertical heat exchange within the upper ocean critically influences regional climate but remains difficult to observe directly. In the Gulf of Mexico, the Loop Current and its associated eddies significantly enhance this exchange. High‐resolution glider observations reveal that this transport is dominated by sub‐daily variability an order of ...
Sakib Mahmud +4 more
wiley +1 more source
IEEE Access, 2022 Many studies have shown that industrial as well as non-industrial business organisations present a growing need of robust and more efficient multivariate monitoring schemes in order to be able to monitor several quality characteristics simultaneous.
Jean-Claude Malela-Majika +2 more
doaj +1 more source
EWMA Chart and Measurement Error [PDF]
Journal of Applied Statistics, 2004 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 situations. The model used is the one involving linear covariates.
Maravelakis, Petros +2 more
openaire +2 more sources
Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment
Journal of Applied Econometrics, Volume 41, Issue 5, Page 523-538, August 2026.ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley +1 more source
Alzheimer's &Dementia, Volume 22, Issue 7, July 2026.Abstract INTRODUCTION We investigated heterogeneity in the association between cumulative heat exposure and cognitive decline among older Japanese adults. METHODS We analyzed 33,877 adults aged ≥ 65 years from a nationwide cohort (2010–2023) linked with long‐term care insurance data.
Hiroyuki Hikichi +4 more
wiley +1 more source
Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk
Environmetrics, Volume 37, Issue 5, July 2026.ABSTRACT This paper provides a framework for measuring honey‐production risk that complements standard mean‐based analyses by explicitly targeting downside tail risk. Using hive‐weight data from a large sample of Italian hives over the period 2021–2024, downside tail risk is quantified through the Honey‐at‐Risk (HaR) metric, defined as the quantile of ...
Alessio Brini +3 more
wiley +1 more source