قارن الطرق

	نموذج المتوسط المتحرك ذي المعلمات المتغيرة زمنيًا	نموذج ARMA (متوسط متحرك ذاتي الانحدار)
المجال	الاقتصاد القياسي	الاقتصاد القياسي
العائلة	Regression model	Regression model
سنة النشأة	1990s	1970
صاحب الطريقة	Harvey, A. C.; Durbin, J. & Koopman, S. J.	George E. P. Box and Gwilym M. Jenkins
النوع	Time-varying state-space model	Time series model
المصدر التأسيسي	Harvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 9780521321969	Box, G. E. P., & Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day.
الأسماء البديلة	TVP-MA model, state-space MA, Kalman filter MA, time-varying MA	ARMA, Box-Jenkins model, autoregressive moving average, AR(p)MA(q)
ذات صلة	6	5
الملخص	The time-varying parameter moving average (TVP-MA) model extends the standard MA model by allowing the moving-average coefficients to change over time. Cast as a state-space system, it is estimated via the Kalman filter and smoother, making it well suited for series where the shock-transmission dynamics evolve across the sample.	The ARMA(p,q) model describes a stationary time series as a combination of two components: an autoregressive part that regresses the current value on its own past p values, and a moving average part that accounts for past q error terms. It is the foundational framework of the Box-Jenkins methodology for univariate time series modelling and short-run forecasting.