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Consider the following information for a set of three ARMA models: ARMA(1,0), ARMA(1,1) and ARMA(3,2). 9 AIC 0 -4.204 1 1 -6.819 3 2 -6.847
Consider the following information for a set of three ARMA models: ARMA(1,0), ARMA(1,1) and ARMA(3,2). 9 AIC 0 -4.204 1 1 -6.819 3 2 -6.847 Based on this, how would you proceed with model specification? a. Eliminate the ARMA(1,0) because it has a clearly inferior fit versus parsimony tradeoff according to the AIC. O b. Choose the ARMA(3,2) only because it has the best fit versus parsimony tradeoff according to the AIC. C. Choose the ARMA(1,1) only because it has a better fit than the ARMA(1,0) but it is more parsimonious than the ARMA(3,2). O d. Eliminate all the models in this set because they have a negative AIC value. Consider the following information for a set of three ARMA models: ARMA(1,0), ARMA(1,1) and ARMA(3,2). 9 AIC 0 -4.204 1 1 -6.819 3 2 -6.847 Based on this, how would you proceed with model specification? a. Eliminate the ARMA(1,0) because it has a clearly inferior fit versus parsimony tradeoff according to the AIC. O b. Choose the ARMA(3,2) only because it has the best fit versus parsimony tradeoff according to the AIC. C. Choose the ARMA(1,1) only because it has a better fit than the ARMA(1,0) but it is more parsimonious than the ARMA(3,2). O d. Eliminate all the models in this set because they have a negative AIC value
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