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SARIMA (Seasonal ARIMA)×Holt-Winters ट्रिपल एक्सपोनेंशियल स्मूथिंग×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष20151960
प्रवर्तकBox & Jenkins (seasonal extension of ARIMA)Charles C. Holt and Peter R. Winters
प्रकारSeasonal time-series modelExponential smoothing forecasting model
मौलिक स्रोतBox, G.E.P., Jenkins, G.M., Reinsel, G.C. & Ljung, G.M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021Winters, P. R. (1960). Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324-342. DOI ↗
उपनामseasonal ARIMA, Box-Jenkins seasonal model, SARIMA — Mevsimsel ARIMAtriple exponential smoothing, Winters' method, Holt-Winters seasonal method, Holt-Winters Üçlü Üstel Düzleştirme
संबंधित54
सारांशSARIMA is a seasonal extension of the Box-Jenkins ARIMA model that adds seasonal differencing and seasonal autoregressive and moving-average terms. Developed within the Box, Jenkins, Reinsel and Ljung framework (5th edition, 2015), it forecasts series whose pattern repeats on a yearly, monthly, or weekly period.Holt-Winters triple exponential smoothing is a forecasting model that extends Holt's double smoothing by adding a seasonal component, introduced by Peter Winters in 1960 building on Charles Holt's work. It tracks three evolving quantities — level, trend, and season — and combines them to forecast a continuous time series.
ScholarGateडेटासेट
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  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
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ScholarGateविधियों की तुलना करें: SARIMA · Holt-Winters. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare