Moving Average Thresholds
Moving Average Thresholds is a dynamic thresholding method in threshold-based alerting that sets adaptive decision boundaries by continuously updating the threshold value based on the moving average of historical data observations, thereby distinguishing it from static or fixed threshold approaches through its responsiveness to temporal data trends.
16
Publications
302
Citations
45
Authors
27
Institutions
Publications per year
2017–2026
3
Parents
16
Threshold models for trended time series
George Kapetanios · Empirical Economics · 2003 · 21 citations
1–5 of 16
45
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Korea Institute of Science & Technology Information, South Korea
1 publications · 12 citations
1
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1
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1
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1–5 of 45
27

Shizuoka University
Shizuoka, Japan
1 h-index
4 publications
52 citations

University of Saskatchewan
Saskatoon, Canada
1 h-index
2 publications
22 citations

University of Cauca
Popayán, Colombia
1 h-index
1 publications
10 citations
Khalifa University of Science and Technology
Abu Dhabi, United Arab Emirates
1 h-index
1 publications
19 citations
Technological Educational Institute of Athens
Athens, Greece
1 h-index
1 publications
10 citations
National Centre of Scientific Research "Demokritos"
Athens, Greece
1 h-index
2 publications
20 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
19 citations
Wageningen University & Research
Wageningen, The Netherlands
1 h-index
2 publications
76 citations
1–8 of 27
1 publications · 10 citations
1
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1 publications · 33 citations
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1 publications · 10 citations
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1 publications · 21 citations
1
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1 publications · 12 citations
1
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