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Autoregressive Models of the Random fields—A Survey

Hussein A. Abdulkadhim; Mayyadah S. Ibrahim; Ali N. Albu-Rghaif

Volume 20, Issue 2 , April 2020, , Page 1-9

Abstract
  Autoregressive (AR) random fields are widely use to describe changes in the status of real-physical objects and implemented for analyzing linear & non-linear models. AR models are Markov processes with a higher order dependence for one-dimensional time series. Actually, various estimation methods ...  Read More ...