Browsing by Author "5B34C2B9-3F8C-4A7C-A04E-96EED9C897E0"
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Functional time series identification and diagnosis by means of autocorrelation analysis
Mestre Marcos, Guillermo; Portela González, José; Rice, Gregory; Muñoz San Roque, Antonio; Alonso Pérez, EstrellaQuantifying the serial correlation across lags is a crucial step in the identification and diagnosis of a model for scalar time series, where the autocorrelation and partial autocorrelation functions of the time series are ... -
Functional time series identification and diagnosis by means of autocorrelation analysis
Mestre Marcos, Guillermo; Portela González, José; Rice, Gregory; Muñoz San Roque, Antonio; Alonso Pérez, Estrella (Sociedad de Estadística e Investigación Operativa; Universitat Politècnica de València (Alcoy, España), 03/09/2019)Quantifying the serial correlation across lags is a crucial step in the identification and diagnosis of a model for scalar time series, where the autocorrelation and partial autocorrelation functions of the time series are ... -
Functional time series identification and diagnosis by means of autocorrelation analysis
Mestre Marcos, Guillermo; Portela González, José; Rice, Gregory; Muñoz San Roque, Antonio; Alonso Pérez, EstrellaQuantifying the serial correlation across lags is a crucial step in the identification and diagnosis of a model for scalar time series, where the autocorrelation and partial autocorrelation functions of the time series are ... -
Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis
Mestre Marcos, Guillermo; Portela González, José; Rice, Gregory; Muñoz San Roque, Antonio; Alonso Pérez, Estrella (2021-03-01)Quantifying the serial correlation across time lags is a crucial step in the identification and diagnosis of a time series model. Simple and partial autocorrelation functions of the time series are the most widely used ...