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Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support

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PROBABILISTIC FORECASTS, JUDGMENTAL ADJUSTMENTS, MANAGEMENT JUDGMENT, STOCK-PRICES, INFORMATION, PERFORMANCE, INTEGRATION, HEURISTICS, ACCURACY, ILLUSION, Forecasting support, Judgmental adjustment, Time series, Promotions, Sales

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MLA
De Baets, Shari, and Nigel Harvey. “Forecasting from Time Series Subject to Sporadic Perturbations : Effectiveness of Different Types of Forecasting Support.” INTERNATIONAL JOURNAL OF FORECASTING, vol. 34, no. 2, ELSEVIER SCIENCE, 2018, pp. 168–80.
APA
De Baets, S., & Harvey, N. (2018). Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support. INTERNATIONAL JOURNAL OF FORECASTING, 34(2), 168–180.
Chicago author-date
De Baets, Shari, and Nigel Harvey. 2018. “Forecasting from Time Series Subject to Sporadic Perturbations : Effectiveness of Different Types of Forecasting Support.” INTERNATIONAL JOURNAL OF FORECASTING 34 (2): 168–80.
Chicago author-date (all authors)
De Baets, Shari, and Nigel Harvey. 2018. “Forecasting from Time Series Subject to Sporadic Perturbations : Effectiveness of Different Types of Forecasting Support.” INTERNATIONAL JOURNAL OF FORECASTING 34 (2): 168–180.
Vancouver
1.
De Baets S, Harvey N. Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support. INTERNATIONAL JOURNAL OF FORECASTING. 2018;34(2):168–80.
IEEE
[1]
S. De Baets and N. Harvey, “Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support,” INTERNATIONAL JOURNAL OF FORECASTING, vol. 34, no. 2, pp. 168–180, 2018.
@article{8534134,
  author       = {De Baets, Shari and Harvey, Nigel},
  issn         = {0169-2070},
  journal      = {INTERNATIONAL JOURNAL OF FORECASTING},
  keywords     = {PROBABILISTIC FORECASTS,JUDGMENTAL ADJUSTMENTS,MANAGEMENT JUDGMENT,STOCK-PRICES,INFORMATION,PERFORMANCE,INTEGRATION,HEURISTICS,ACCURACY,ILLUSION,Forecasting support,Judgmental adjustment,Time series,Promotions,Sales},
  language     = {eng},
  number       = {2},
  pages        = {168--180},
  publisher    = {ELSEVIER SCIENCE},
  title        = {Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support},
  url          = {http://dx.doi.org/10.1016/j.ijforecast.2017.09.007},
  volume       = {34},
  year         = {2018},
}

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