Rekodi ya ushahidi wa mbinu

Engle-Granger Cointegration Test

The Engle-Granger two-step method tests whether two or more non-stationary I(1) time series share a common stochastic trend — that is, whether a linear combination of them is stationary. If cointegration is confirmed, an error-correction model (ECM) can be estimated to capture both short-run dynamics and long-run equilibrium adjustment.

Sources recorded, not reviewed

Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

Engle-Granger Two-Step Cointegration Test

Rekodi ya mbinu ya kiajenda · regression-model / econometrics

Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. · DOI 10.2307/1913236
Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. · ISBN 978-0691042893

Fungua mbinu kamili

Madai yaliyotunzwa

Madai yamehifadhiwa katika daftari la ushahidi, kila moja ikiwa na tathmini yake.

Hakuna madai yaliyotunzwa bado

Mwonekano huu haubuni tathmini ya dai wakati daftari haina yoyote.

Mbinu zinazohusiana

Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.

Taxonomic bucketARIMA modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketAugmented Dickey-Fuller unit root testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketGranger Causality Testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPhillips-Perron unit root testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketVector Error Correction Modelmachine-suggested · Relational suggestion, not evidence.