Results 11 to 20 of about 941,174 (293)

The STL-ARIMA approach for seasonal time series forecast: A preliminary study [PDF]

open access: yesITM Web of Conferences
STL, which stands for Seasonal and Trend decomposition using Loess, is a technique used to decompose a time series into its underlying components: trend, seasonal, and remainder.
Lem Kong Hoong
doaj   +2 more sources

Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida

open access: yesEmerging Infectious Diseases, 2004
Disease transmission forecasts can help minimize human and domestic animal health risks by indicating where disease control and prevention efforts should be focused.
Jeffrey Shaman   +4 more
doaj   +2 more sources

Improved sub-seasonal meteorological forecast skill using weighted multi-model ensemble simulations

open access: yesEnvironmental Research Letters, 2016
Sub-seasonal to seasonal weather and hydrological forecasts have the potential to provide vital information for a variety of water-related decision makers.
Niko Wanders, Eric F Wood
doaj   +2 more sources

Seasonal Precipitation Forecast Over Morocco [PDF]

open access: yesWater Resources Research, 2018
Interannual variability of precipitation is a challenge for water management in semiarid Morocco, where droughts are common and take a heavy toll on agricultural production.
A. Tuel, E. A. B. Eltahir
doaj   +5 more sources

Seasonal Forecasting of the Onset of the Rainy Season in West Africa [PDF]

open access: yesAtmosphere, 2019
Seasonal forecasts for monsoonal rainfall characteristics like the onset of the rainy seasons (ORS) are crucial for national weather services in semi-arid regions to better support decision-making in rain-fed agriculture.
Manuel Rauch   +5 more
doaj   +4 more sources

Forecasting with Multiple Seasonality [PDF]

open access: yes2020 IEEE International Conference on Big Data (Big Data), 2020
An emerging number of modern applications involve forecasting time series data that exhibit both short-time dynamics and long-time seasonality. Specifically, time series with multiple seasonality is a difficult task with comparatively fewer discussions.
Tianyang Xie, Jie Ding 0002
openaire   +3 more sources

Evolving Multilevel Forecast Combination Models - An Experimental Study [PDF]

open access: yes, 2005
This paper provides a description and experimental comparison of different forecast combination techniques for the application of Revenue Management forecasting for Airlines.
Gabrys, Bogdan, Riedel, Silvia
core   +8 more sources

Forecasting and seasonality [PDF]

open access: yesInternational Journal of Forecasting, 1997
Seasonal fluctuations account for a major part in the variation in the growth rates of most quarterly and monthly business and economic time series. In order to make inferences on the nature of business cycles and long-run growth, the ‘traditional’ ap- proach is to remove the seasonal component of a series through the use of deterministic dummies ...
de Gooijer, J.G., Franses, P.H.
openaire   +3 more sources

Forecasting seasonal outbreaks of influenza [PDF]

open access: yesProceedings of the National Academy of Sciences, 2012
Influenza recurs seasonally in temperate regions of the world; however, our ability to predict the timing, duration, and magnitude of local seasonal outbreaks of influenza remains limited. Here we develop a framework for initializing real-time forecasts of seasonal influenza outbreaks, using a data assimilation technique commonly applied in numerical ...
Jeffrey, Shaman, Alicia, Karspeck
openaire   +2 more sources

Seasonal forecast and water resources management [PDF]

open access: yes, 2002
Seasonal forecast and water resources ...
V. Adejokun (7221407)   +1 more
core   +3 more sources

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