Rare earth elements price forecasting by means of transgenic time series developed with ARIMA models
María Victoria Riesgo García,
Miguel Ángel Manzanedo del Campo,
Escanciano García-Miranda, Carmen and
Fernando Sánchez Lasheras
Resources Policy, 2018, vol. 59, issue C, 95-102
A time series can be thought of as a numerical organism with a continuous nature from a chronological point of view and something that is permanently updated. Up to this moment time series research related with their features, traits, and characteristics, is mainly focused on data mining, in order to discover hidden information or specific knowledge within the time series or their transformations. However, time series representation is crucial, as they are difficult to handle in their original structure due to their high dimensionality.
Keywords: Rare earth elements; Price forecasting; Time series representation; Transgenic time series; Genetically modified time series; Autoregressive Integrated Moving Average (ARIMA) (search for similar items in EconPapers)
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