Moving Average
2008
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About 10,000 papers for “Moving average”
2008
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Frits Agterberg · Encyclopedia of earth sciences series/Encyclopedia of earth sciences · 2023
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The SAGE Encyclopedia of Social Science Research Methods · 2004
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Marc D. Binder, Nobutaka Hirokawa, Uwe Windhorst · 2008
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P. M. Swamidass · 2000
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Danku, Zsuzsa · Figshare · 2018
T=1.3, S=-0.1, K=0.1, Alpha = 0.5, memory length = 6.
Cited by 0Open access
Danku, Zsuzsa · Figshare · 2018
T=1.3, S=-0.1, K=0.1, Alpha = 0.5, memory length = 6.
Cited by 0Open access
Danku, Zsuzsa · Figshare · 2018
T = 1.3, S = -0.1, K = 0.1, Alpha = 0.9, memory length = 43.
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George Flaskerud, Demcey Johnson · 2000
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Miguel Ángel Canela, Inés Alegre, Alberto Ibarra · 2019
Cited by 1
W. PaulVogt · 2005
Cited by 3
Danku, Zsuzsa · Figshare · 2018
T = 1.3, S = -0.1, K = 0.1, Alpha = 0.9, memory length = 43.
Cited by 0Open access
Shashi Shekhar, Hui Xiong, Xun Zhou · Encyclopedia of GIS · 2017
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Shashi Shekhar, Hui Xiong · Encyclopedia of GIS · 2008
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Steven W. Smith · Digital Signal Processing · 2003
Cited by 111
W. G. S. Hines · Encyclopedia of Statistical Sciences · 2004
Cited by 1
W. G. S. Hines · Encyclopedia of Statistical Sciences · 2005
Cited by 3
O. D. Anderson · Journal of the Royal Statistical Society Series D (The Statistician) · 1975
Cited by 14
Muhammad Ali Raza, Azka Amin, Muhammad Aslam et al. · Scientific Reports · 2024
This research designed a distribution-free mixed exponentially weighted moving average-moving average (EWMA-MA) control chart based on signed-rank statistic to effectively identify changes in the process location. The EWMA-MA charting statistic assigns more weight to information obtained from the recent <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>w</mml:mi></mml:math> samples and exponentially decreasing weights to information accumulated from all other past samples. The run-length profile of the proposed chart is obtained by employing Monte Carlo simulation techniques. The effectiveness of the proposed chart is evaluated under symmetrical distributions using a variety of individual and overall performance measures. The analysis of the run-length profile indicates that the proposed chart performs better than the existing control charts discussed in the literature. Additionally, an application from a gas turbine is provided to demonstrate how the proposed chart can be used in practice.
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Princeton University Press eBooks · 1994
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