Uchanganuzi wa STL: Uchanganuzi wa Mwenendo wa Msimu kwa kutumia Loess
Uchanganuzi wa STL, ulioanzishwa na Cleveland, Cleveland, McRae, na Terpenning (1990), ni utaratibu usio wa kiparameta unaotenganisha mfululizo wa muda katika vijenzi vitatu vya kuongeza — mwenendo, msimu, na salio — kwa kutumia urejeshaji wa uzito wa ndani unaorudiwa (loess). Unatumika sana katika uchumi, hali ya hewa, na sayansi ya data, unashughulikia mfululizo wa muda wa kipindi chochote na haushawishiki na uwepo wa viashiria visivyo vya kawaida, na kuufanya kuwa mbadala rahisi sana kwa njia za uchanganuzi za kitamaduni.
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
- Cleveland, R. B., Cleveland, W. S., McRae, J. E., & Terpenning, I. (1990). STL: A seasonal-trend decomposition procedure based on loess. Journal of Official Statistics, 6(1), 3–73. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 2). STL: Seasonal-Trend Decomposition using Loess. ScholarGate. https://scholargate.app/sw/econometrics/stl-decomposition
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
- LOESS / LOWESS Usanifu wa Kurekebisha wa KienyejiUjifunzaji wa Mashine↔ compare
- Marekebisho ya Kimsimu ya X-13ARIMA-SEATSEkonometriki↔ compare
Imerejelewa na
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