Baghdad Sci.J volume 16, issue 4(Suppl.), P1049 2019 DOI: 10.21123/bsj.2019.16.4(suppl.).1049 View full text
|
|
Share
Juma Et al.

Abstract: The proposal of nonlinear models is one of the most important methods in time series analysis, which has a wide potential for predicting various phenomena, including physical, engineering and economic, by studying the characteristics of random disturbances in order to arrive at accurate predictions. In this, the autoregressive model with exogenous variable was built using a threshold as the first method, using two proposed approaches that were used to determine the best cutting point of [the predictabili…

expand abstract