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Regression modelEconometrics / time series

Mfumo wa SARIMA — Mfumo wa Wastani wa Kujirudia kwa Msimu

SARIMA huongeza ARIMA kwa kuongeza vipengele vya kujirudia kwa msimu na vipengele vya wastani vya makosa ili kukamata ruwaza zinazojirudia kwa vipindi maalum — kama vile mizunguko ya kila mwezi, robo mwaka, au mwaka. Ukiandikwa SARIMA(p,d,q)(P,D,Q)s, ni zana muhimu kwa utabiri wa mfululizo wa muda wa msimu mmoja katika ekonometriki, uchumi, na takwimu rasmi.

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Vyanzo

  1. Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744
  2. Hyndman, R. J., & Athanasopoulos, G. (2021). Forecasting: Principles and Practice (3rd ed.). OTexts. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Seasonal Autoregressive Integrated Moving Average Model. ScholarGate. https://scholargate.app/sw/econometrics/sarima-model

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Imerejelewa na

ScholarGateSARIMA model (Seasonal Autoregressive Integrated Moving Average Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/sarima-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026