Comparison of data-rich and small-scale data time series models generating probabilistic forecasts: An application to U.S. natural gas gross withdrawals
© 2017 Elsevier B.V. Time series models derived from using data-rich and small-scale data techniques are estimated to examine: 1) if data-rich methods forecast natural withdrawals better than typical small-scale data, time series methods; and 2) how the number of unobservable factors included in a d...
محفوظ في:
المؤلفون الرئيسيون: | Kannika Duangnate, James W. Mjelde |
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التنسيق: | دورية |
منشور في: |
2018
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الموضوعات: | |
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85020824781&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46790 |
الوسوم: |
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مواد مشابهة
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Comparison of data-rich and small-scale data time series models generating probabilistic forecasts: An application to U.S. natural gas gross withdrawals
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