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Table 5 ARMA model parameter estimations

From: A time-series prediction model of acute myocardial infarction in northern of Iran: the risk of climate change and religious mourning

Variable Coefficient Std. Error t-Statistic Prob.
AR(1) 0.637889 0.006320 100.9265 0.0000
AR(2) − 0.231091 0.006209 − 37.21658 0.0000
AR(3) 0.246695 0.005654 43.63024 0.0000
AR(4) − 0.638374 0.006419 − 99.44966 0.0000
AR(5) 0.983826 0.006121 160.7385 0.0000
MA(1) − 0.629692 0.005422 − 116.1446 0.0000
MA(2) 0.238851 0.005928 40.29171 0.0000
MA(3) − 0.241633 0.005693 − 42.44279 0.0000
MA(4) 0.628322 0.005260 119.4531 0.0000
MA(5) − 0.986092 0.004266 − 231.1485 0.0000
R-squared 0.029068 Mean dependent var   2.952500
Adjusted R-squared 0.018007 S.D. dependent var   2.427470
S.E. of regression 2.405515 Akaike info criterion   4.605826
Sum squared resid 4571.336 Schwarz criterion   4.664384
Log likelihood − 1832.330 Hannan–Quinn criter   4.628321
Durbin–Watson stat 1.931567    
Inverted AR roots 1.00 .51 − .85i .51 + .85i − .69 − .72i
  − .69 + .72i    
Inverted MA roots 1.00 .50 + .86i .50 − .86i − .69 + .72i
  − .69 − .72i