A class of periodic trend models for seasonal time series.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 2, p. 106, doi. 10.1002/for.2562
- By:
- Publication type:
- Article
Works matching IS 02776693 AND DT 2019 AND VI 38 AND IP 2
Results: 7
1
2
Hybridizing kernel‐based fuzzy c‐means with hierarchical selective neural network ensemble model for business failure prediction.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 2, p. 92, doi. 10.1002/for.2561
- By:
- Publication type:
- Article
3
Forecasting private consumption with Google Trends data.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 2, p. 81, doi. 10.1002/for.2559
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- Publication type:
- Article
4
Model‐based forecast adjustment: With an illustration to inflation.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 2, p. 73, doi. 10.1002/for.2557
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- Publication type:
- Article
5
Learning dynamics in the formation of European inflation expectations.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 2, p. 122, doi. 10.1002/for.2553
- By:
- Publication type:
- Article
6
An analysis on the predictability of CAPM beta for momentum returns.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 2, p. 136, doi. 10.1002/for.2552
- By:
- Publication type:
- Article
7
Issue Information.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 2, p. N.PAG, doi. 10.1002/for.2532
- Publication type:
- Article