Box-jenkins Methodology
Box-Jenkins Methodology is a systematic statistical modeling framework for time series analysis and forecasting, distinguished by its iterative approach involving model identification, parameter estimation, and diagnostic checking within the class of autoregressive integrated moving average (ARIMA) models.
637
Publications
36.8K
Citations
1.5K
Authors
670
Institutions
Publications per year
2017–2026
135
Variants
Box-jenkins Approach
Parents
637
Time Series Analysis by State Space Methods
J. Durbin, Siem Jan Koopman · Oxford University Press eBooks · 2012 · 1.5K citations
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Stockholm University
Stockholm, Sweden
11 h-index
12 publications
779 citations
Jiangnan University
Wuxi, China
8 h-index
16 publications
1.4K citations
University of California, Berkeley
Berkeley, United States
6 h-index
17 publications
388 citations

University of Waterloo
Waterloo, Canada
6 h-index
11 publications
636 citations
Swedish Institute
Stockholm, Sweden
6 h-index
7 publications
376 citations
Lancaster University
Lancaster, United Kingdom
6 h-index
6 publications
415 citations
University of Technology Malaysia
Johor Bahru, Malaysia
6 h-index
13 publications
301 citations
Vrije Universiteit Brussel
Brussels, Belgium
5 h-index
15 publications
457 citations
1–8 of 670
18 publications · 1.4K citations
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13 publications · 1.6K citations
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11 publications · 705 citations
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10 publications · 797 citations
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Repository · 9 publications · 200 citations
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