Uchambuzi Imara wa Mfululizo wa Wakati
Uchambuzi Imara wa Mfululizo wa Wakati huweka miundo ya kiwango cha kiwango cha kurudi nyuma (autoregressive), uhamaji wa wastani (moving-average), na ARIMA kwenye mfululizo wenye alama za nje au vipindi vya kimuundo, kwa kutumia M-estimation au MM-estimation badala ya mbinu ya kawaida ya viwango vidogo vya mraba (ordinary least squares) ili uchache wa maangalizi yasiyo ya kawaida usipotoshe marekebisho. Inafuata mila ya takwimu imara iliyojumuishwa katika Maronna, Martin, Yohai na Salibián-Barrera (2019).
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
- Maronna, R. A., Martin, R. D., Yohai, V. J., & Salibián-Barrera, M. (2019). Robust Statistics: Theory and Methods (with R) (2nd ed.). Wiley. ISBN: 978-1119214687
- Peña, D., & Guttman, I. (1988). A Bayesian Approach for Predicting with Outliers. Journal of the American Statistical Association. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 1). Robust Time Series Analysis (M- and MM-estimation based AR / MA / ARIMA). ScholarGate. https://scholargate.app/sw/statistics/robust-time-series
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.
- Uchambuzi wa Sehemu ya KuvunjikaTakwimu↔ compare
- Uthabiti wa Kiwango cha Thamani ya Kati ya Upotofu kamili (MAD)Takwimu↔ compare
- Urejeshaji wa Njia ya Viwango Vidogo vya Kawaida (OLS)Ekonometriki↔ compare
- Muundo Imara wa Athari Zilizochanganywa za LainiTakwimu↔ compare
- Vipimo thabiti vya Sn na Qn vya kiwango (mtawanyiko)Takwimu↔ compare
Imerejelewa na
Umeona tatizo kwenye ukurasa huu? Ripoti au pendekeza marekebisho →