Consider the following information for a set of three ARMA models: ARMA(1,0), ARMA(1,1) and ARMA(3,2). AIC 1 -4.204 1 1 -6.819 -6.847 Based on this, how would you proceed with model specification? O a. Eliminate the ARMA(1,0) because it has a clearly inferior fit versus parsimony tradeoff according to the AIC. O D. Choose the ARMA(3.2) only because it has the best fit versus parsimony tradeoff according to the AlC. 3.

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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).
AIC
1
-4.204
1
-6.819
2
-6.847
Based on this, how would you proceed with model specification?
O a. Eliminate the ARMA(1,0) because it has a clearly inferior fit versus parsimony tradeoff according to the AIC.
Ob.
Choose the ARMA(3,2) only because it has the best fit versus parsimony tradeoff according to the AIC.
O 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).
Od.
Eliminate all the models in this set because they have a negative AIC value.
3.
Transcribed Image Text:Consider the following information for a set of three ARMA models: ARMA(1,0), ARMA(1,1) and ARMA(3,2). AIC 1 -4.204 1 -6.819 2 -6.847 Based on this, how would you proceed with model specification? O a. Eliminate the ARMA(1,0) because it has a clearly inferior fit versus parsimony tradeoff according to the AIC. Ob. Choose the ARMA(3,2) only because it has the best fit versus parsimony tradeoff according to the AIC. O 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). Od. Eliminate all the models in this set because they have a negative AIC value. 3.
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