TBATS — Upepeshaji wa Kielektroniki wa Kielektroniki kwa Msimu Mgumu
TBATS ni modeli ya utabiri wa hali ya anga ya uvumbuzi, iliyoanzishwa na De Livera, Hyndman na Snyder (2011), inayochanganya mabadiliko ya Box-Cox, makosa ya ARMA na vipengele vya msimu wa trigonometri (Fourier). Imejengwa ili kushughulikia safu za wakati zinazoendelea na mizunguko kadhaa ya msimu iliyowekwa kwa wakati mmoja — kwa mfano data ya kila saa ambayo pia hurudiwa kila siku, kila wiki na kila mwaka.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- De Livera, A. M., Hyndman, R. J. & Snyder, R. D. (2011). Forecasting Time Series with Complex Seasonal Patterns Using Exponential Smoothing. Journal of the American Statistical Association, 106(496), 1513-1527. DOI: 10.1198/jasa.2011.tm09771 ↗
- Hyndman, R. J. & Athanasopoulos, G. (2021). Forecasting: Principles and Practice (3rd ed.). OTexts. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 1). Trigonometric, Box-Cox, ARMA, Trend and Seasonal Components Model. ScholarGate. https://scholargate.app/sw/econometrics/tbats
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Mfumo wa ARIMA (Autoregressive Integrated Moving Average)Ekonometriki↔ compare
- SARIMA (Seasonal ARIMA)Ekonometriki↔ compare
- Uchanganuzi wa STL: Uchanganuzi wa Mwenendo wa Msimu kwa kutumia LoessEkonometriki↔ compare
Imerejelewa na
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