Regression modelEconometrics / time series

Furjē AR modelis

Furjē AR modelis paplašina standarta autoregresīvo specifikāciju, pievienojot trigonometriskus (sinusa un kosinusa) locekļus deterministiskajai komponentei. Tas ļauj modelim uztvert vienmērīgas, pakāpeniskas izmaiņas laika sērijas vidējā vērtībā vai tendencē, neprasot pētniekam skaidri noteikt vai saskaitīt strukturālo pārtraukumu punktus.

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Avoti

  1. Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. DOI: 10.1111/j.1468-0084.2011.00662.x
  2. Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381–409. DOI: 10.1111/j.1467-9892.2006.00478.x

Kā citēt šo lapu

ScholarGate. (2026, June 3). Fourier-Augmented Autoregressive Model. ScholarGate. https://scholargate.app/lv/econometrics/fourier-ar-model

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ScholarGateFourier AR Model (Fourier-Augmented Autoregressive Model). Izgūts 2026-06-15 no https://scholargate.app/lv/econometrics/fourier-ar-model · Datu kopa: https://doi.org/10.5281/zenodo.20539026