Beta autoregressive moving average model selection with application to modeling and forecasting stored hydroelectric energy
Francisco Cribari-Neto, Vinícius T. Scher, Fábio M. Bayer
| Year of publication: |
2023
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|---|---|
| Authors: | Cribari-Neto, Francisco ; Scher, Vinícius T. ; Bayer, Fábio M. |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 39.2023, 1, p. 98-109
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| Subject: | Bootstrap | Forecasting | Information criterion | model | Model selection | Stored hydroelectric energy | Prognoseverfahren | Forecasting model | Modellierung | Scientific modelling | ARMA-Modell | ARMA model | Zeitreihenanalyse | Time series analysis | Wasserkraft | Hydropower | Schätztheorie | Estimation theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2021.09.004 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014462770