পদ্ধতির তুলনা করুন

	অটোরিগ্রেসিভ মডেল (AR)	অটো রিগ্রেসিভ মুভিং অ্যাভারেজ (ARMA) মডেল
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1970s (popularised 1976)	1970
প্রবর্তক	George E. P. Box and Gwilym M. Jenkins	George E. P. Box and Gwilym M. Jenkins
ধরন	Time series model	Time series model
মৌলিক উৎস	Box, G. E. P., & Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0816211043	Box, G. E. P., & Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day.
অপর নাম	AR model, AR(p) model, autoregression, AR process	ARMA, Box-Jenkins model, autoregressive moving average, AR(p)MA(q)
সম্পর্কিত	6	5
সারসংক্ষেপ	An autoregressive model of order p — AR(p) — expresses the current value of a time series as a linear function of its own p most recent past values plus a white-noise error. It is the building block of the Box-Jenkins family of time-series models and is widely used for forecasting stationary economic and financial series.	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.