विधियों की तुलना करें

	ऑटोरेग्रेसिव मॉडल (AR)	ग्रेंजर कारणता परीक्षण (Granger Causality Test)
क्षेत्र	अर्थमिति	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1970s (popularised 1976)	1969
प्रवर्तक	George E. P. Box and Gwilym M. Jenkins	Clive W. J. Granger
प्रकार	Time series model	Causality test (F-test on VAR)
मौलिक स्रोत	Box, G. E. P., & Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0816211043	Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438.
उपनाम	AR model, AR(p) model, autoregression, AR process	Granger test, GC test, predictive causality test, Granger non-causality test
संबंधित	6	5
सारांश	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 Granger causality test is a statistical hypothesis test that determines whether past values of one time series help predict future values of another, beyond what that series' own past already explains. Introduced by Clive Granger in 1969, it is the standard approach for assessing predictive causality in VAR-based time-series analysis.