Results 11 to 20 of about 13,618 (198)

A synthetic exponentially weighted moving average control chart to monitor process median based on ranked set sampling [PDF]

open access: yesITM Web of Conferences, 2021
Exponentially Weighted Moving Average (EWMA) control charts yield insights into data in a way more comprehensible to the practitioners and researchers because of its capability in discovering small to moderate process mean shifts.
Ng Jing Wen   +2 more
doaj   +1 more source

Symmetry of gamma distribution data about the mean after processing with EWMA function

open access: yesScientific Reports, 2023
Statistical Process Control (SPC) plays a vital role in maintaining quality and reducing variability in manufacturing processes. Among SPC techniques, the Exponentially Weighted Moving Average (EWMA) stands out for its ability to detect small process ...
Mohammad M. Hamasha   +7 more
doaj   +1 more source

Improving Stock Price Prediction Using Combining Forecasts Methods

open access: yesIEEE Access, 2021
This study presents an outcome of pursuing better and effective forecasting methods. The study primarily focuses on the effective use of divide-and-conquer strategy with Empirical Mode Decomposition or briefly EMD algorithm.
Mohammad Raquibul Hossain   +2 more
doaj   +1 more source

Modelling and Forecasting the Volatility of Thin Emerging Stock Markets: the Case of Bulgaria [PDF]

open access: yes, 2009
The result of this research shows that the SOFIX index has basic characteristics that are observed in most of the emerging stock markets, namely: high risk, significant autocorrelation, non-normality and volatility clustering.
Kanaryan Nigokhos   +2 more
core   +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

Forecasting Value-at-Risk with Time-Varying Variance, Skewness and Kurtosis in an Exponential Weighted Moving Average Framework [PDF]

open access: yes, 2012
This paper provides an insight to the time-varying dynamics of the shape of the distribution of financial return series by proposing an exponential weighted moving average model that jointly estimates volatility, skewness and kurtosis over time using a ...
Gabrielsen, A.   +3 more
core   +4 more sources

Ratio de la carga de trabajo aguda:crónica. Exploración y aplicabilidad al fútbol femenino amateur

open access: yesApunts: Educación Física y Deportes, 2021
Con el objetivo de analizar posibles relaciones entre las modalidades de ratio de carga aguda:crónica (tanto por promedios de carga consecutivos, ACWR, como en su ponderación exponencial dinámica, EWMA), en relación con la lesionabilidad en el fútbol ...
Antoni Pajuelo, Toni Caparrós
doaj   +1 more source

In-Network Distributed Solar Current Prediction [PDF]

open access: yes, 2014
Long-term sensor network deployments demand careful power management. While managing power requires understanding the amount of energy harvestable from the local environment, current solar prediction methods rely only on recent local history, which makes
Basha, Elizabeth   +2 more
core   +2 more sources

An Enhanced Auxiliary Information‐Based EWMA‐t Chart for Monitoring the Process Mean

open access: yesApplied Sciences, 2020
The exponentially weighted moving average t chart using auxiliary information (AIB-EWMA-t chart) is an effective approach for monitoring small process mean shifts when the process standard deviation is unstable or poorly estimated. To further enhance the
Jen‐Hsiang Chen, Shin‐Li Lu
doaj   +1 more source

Modelling the downside risk potential of mutual fund returns

open access: yesCogent Economics & Finance, 2022
Investors are becoming more sensitive about returns and losses, especially when the investments are exposed to downside risk potential in the financial markets.
Sunitha Kumaran
doaj   +1 more source

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