Hybrid Model for Time Series of Complex Structure with ARIMA Components
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- Junyan Liu & Sandeep Kumar & Daniel P. Palomar, 2018. "Parameter Estimation of Heavy-Tailed AR Model with Missing Data via Stochastic EM," Papers 1809.07203, arXiv.org, revised Feb 2019.
- Julio Cezar Souza Vasconcelos & Gauss Moutinho Cordeiro & Edwin Moises Marcos Ortega & Édila Maria de Rezende, 2021. "A new regression model for bimodal data and applications in agriculture," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(2), pages 349-372, January.
- Dragan Miljkovic & Saleem Shaik & Silvia Miranda & Nikita Barabanov & Anais Liogier, 2015. "Globalisation and Obesity," The World Economy, Wiley Blackwell, vol. 38(8), pages 1278-1294, August.
- Zina Boussaada & Octavian Curea & Ahmed Remaci & Haritza Camblong & Najiba Mrabet Bellaaj, 2018. "A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation," Energies, MDPI, vol. 11(3), pages 1-21, March.
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Keywords
time series model; wavelet transform; ARIMA model; neural network NARX; ionospheric parameters;All these keywords.
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