Forecasting time series movement direction with hybrid methodology

DOI10.1155/2017/3174305zbMath1431.62423OpenAlexW2741866699WikidataQ59147010 ScholiaQ59147010MaRDI QIDQ1658219

Arthit Intarasit, Khanchit Chuarkham, Salwa Waeto

Publication date: 14 August 2018

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/3174305

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)

Cites Work

• Time series forecasting using a hybrid ARIMA and neural network model
• Forecasting nonlinear time series with a hybrid methodology
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