Regression modelEconometrics / time series

Robustni KPSS test za stacionarnost

Robustni KPSS test proširenje je klasičnog testa stacionarnosti Kwiatkowskog-Philipsa-Schmidta-Shina (1992.) koji zamjenjuje uobičajeni procjenitelj dugoročne varijance robusnim procjeniteljem otpornim na odstupanja ili heteroskedastičnost, zadržavajući pouzdanu veličinu i snagu u prisutnosti kontaminiranih opažanja, strukturnih promjena ili nestandardnih distribucija pogrešaka.

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Izvori

  1. Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1-3), 159-178. DOI: 10.1016/0304-4076(92)90104-Y
  2. Hobijn, B., Franses, P. H., & Ooms, M. (2004). Generalizations of the KPSS-test for stationarity. Statistica Neerlandica, 58(4), 483-502. DOI: 10.1111/j.1467-9574.2004.00272.x

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Robust Kwiatkowski-Phillips-Schmidt-Shin Test. ScholarGate. https://scholargate.app/hr/econometrics/robust-kpss-test

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ScholarGateRobust KPSS test (Robust Kwiatkowski-Phillips-Schmidt-Shin Test). Preuzeto 2026-06-15 s https://scholargate.app/hr/econometrics/robust-kpss-test · Skup podataka: https://doi.org/10.5281/zenodo.20539026