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Nelinearni KPSS test×Prošireni Diki-Fulerov (ADF) test na jedinicu korena×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka20061979
TvoracBecker, Enders & LeeDavid A. Dickey & Wayne A. Fuller
TipStationarity test (null: stationary)Unit-root test for stationarity
Temeljni izvorBecker, 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 ↗Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431. DOI ↗
Drugi naziviKPSS nonlinearity test, nonlinear stationarity test, flexible Fourier KPSS, NL-KPSSADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testi
Srodne34
SažetakThe nonlinear KPSS test extends the classic Kwiatkowski-Phillips-Schmidt-Shin stationarity test by modelling unknown smooth structural breaks in the deterministic trend using a Fourier approximation. Under the null hypothesis the series is stationary around a flexible nonlinear trend, guarding against spurious unit-root findings caused by regime shifts or gradual transitions.The Augmented Dickey-Fuller (ADF) test is the most widely used test for a unit root — that is, for whether a time series is non-stationary and must be differenced before modelling. Introduced by David Dickey and Wayne Fuller in 1979 and extended by Said and Dickey in 1984 to series with higher-order autocorrelation, it regresses the change in the series on its lagged level plus lagged differences and asks whether the lagged-level coefficient is zero.
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ScholarGateUporedite metode: Nonlinear KPSS Test · Augmented Dickey-Fuller Test. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare