Rekodi ya ushahidi wa mbinu

TAR / SETAR

TAR and SETAR are nonlinear autoregressive models introduced by Howell Tong (1990) that allow a time series to follow different linear dynamics in distinct regimes, separated by one or more threshold values. SETAR is the self-exciting variant, in which the threshold variable is a lagged value of the series itself, making it particularly suited to cycles, asymmetric adjustment, and limit-cycle behavior observed in economic and financial data.

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.

Threshold / Self-Exciting Threshold Autoregression (TAR/SETAR)

Rekodi ya mbinu ya kiajenda · regression-model / econometrics

Tong, H. (1990). Non-linear Time Series: A Dynamical System Approach. Oxford University Press. · ISBN 978-0-19-852300-6

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.

Same method familySTAR Modelmachine-suggested · Relational suggestion, not evidence.Same method familyThreshold Regressionmachine-suggested · Relational suggestion, not evidence.