Autoregressive Moving Average Models
Autoregressive Moving Average Models is a statistical time series model that combines autoregressive and moving average components to capture temporal dependence by expressing the current value as a linear combination of past values and past error terms.
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Publications per year
2017–2026
428
Variants
Arma ModelAutoregressive Moving Average Model
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Regression and time series model selection in small samples
Clifford M. Hurvich, Chih‐Ling Tsai · Biometrika · 1989 · 6.4K citations
On a measure of lack of fit in time series models
Greta M. Ljung, George E. P. Box · Biometrika · 1978 · 6K citations
J. R. M. Hosking · Biometrika · 1981 · 2.5K citations
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University of Wisconsin–Madison
Madison, United States
21 h-index
47 publications
10.6K citations
University of Chicago
Chicago, United States
20 h-index
28 publications
3.1K citations
Colorado State University
Fort Collins, United States
17 h-index
36 publications
1.9K citations
University of Southern California
Los Angeles, United States
16 h-index
35 publications
3.9K citations

Australian National University
Canberra, Australia
15 h-index
26 publications
2.5K citations
University of Virginia
Charlottesville, United States
14 h-index
18 publications
1.3K citations
Stanford University
Stanford, United States
14 h-index
19 publications
1.6K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
23 publications
1.5K citations
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102 publications · 6.4K citations
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54 publications · 10.7K citations
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34 publications · 2.5K citations
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JBES · 32 publications · 3.1K citations
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