R package forecast: Forecasting functions for time series and linear models , Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling. (Source:

References in zbMATH (referenced in 150 articles , 1 standard article )

Showing results 121 to 140 of 150.
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  1. Coelho, Leandro C.; Cordeau, Jean-François; Laporte, Gilbert: Heuristics for dynamic and stochastic inventory-routing (2014)
  2. Firmino, Paulo Renato A.; de Mattos Neto, Paulo S. G.; Ferreira, Tiago A. E.: Correcting and combining time series forecasters (2014)
  3. Froelich, Wojciech; Salmeron, Jose L.: Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series (2014) ioport
  4. Golyandina, Nina; Korobeynikov, Anton: Basic singular spectrum analysis and forecasting with R (2014)
  5. Bernardo Sánchez, Antonio; Ordóñez, Celestino; Sánchez Lasheras, Fernando; De Cos Juez, Francisco Javier; Roca-Pardiñas, Javier: Forecasting (\textSO_2) pollution incidents by means of Elman artificial neural networks and ARIMA models (2013)
  6. Contreras-Reyes, Javier E.; Palma, Wilfredo: Statistical analysis of autoregressive fractionally integrated moving average models in R (2013)
  7. Debón, A.; Montes, F.; Sala, R.: Pricing reverse mortgages in Spain (2013)
  8. Frey, Micheal R.; Caudle, Kyle A.: Flow field forecasting for univariate time series (2013)
  9. Hansen, Hendrik: The forecasting performance of mortality models (2013)
  10. Kalhor, Ahmad; Araabi, Babak N.; Lucas, Caro: Online extraction of main linear trends for nonlinear time-varying processes (2013) ioport
  11. Kondratyev, Mikhail; Tsybalova, Lyudmila: Long-term forecasting of influenza-like illnesses in Russia (2013)
  12. Shang, Han Lin: Functional time series approach for forecasting very short-term electricity demand (2013)
  13. Zhang, Lingsong; Shen, Haipeng; Huang, Jianhua Z.: Robust regularized singular value decomposition with application to mortality data (2013)
  14. Bao, Yukun; Xiong, Tao; Hu, Zhongyi: Forecasting air passenger traffic by support vector machines with ensemble empirical mode decomposition and slope-based method (2012)
  15. Brandão, Rita Marques; Nova, Acácio M. O. Porta: Analysis of event-based, single-server nonstationary simulation responses using classical time-series models (2012)
  16. Hays, Spencer; Shen, Haipeng; Huang, Jianhua Z.: Functional dynamic factor models with application to yield curve forecasting (2012)
  17. San-Juan, Juan Félix; San-Martín, Montserrat; Pérez, Iván: An economic hybrid (J_2) analytical orbit propagator program based on SARIMA models (2012)
  18. Sumi, S. Monira; Zaman, M. Faisal; Hirose, Hideo: A rainfall forecasting method using machine learning models and its application to the Fukuoka city case (2012)
  19. De Livera, Alysha M.; Hyndman, Rob J.; Snyder, Ralph D.: Forecasting time series with complex seasonal patterns using exponential smoothing (2011)
  20. Giovanni Petris; Sonia Petrone: State Space Models in R (2011) not zbMATH

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