The Performance of AlCC as an Order Selection Criterion in ARMA Time Series Models
This study is undertaken with the objective of investigating the performance of Akaike's Information Corrected Criterion (AlCC) as an order determination criterion for the selection of Autoregressive Moving-Average or ARMA (P,q) time series model. A simulation investigation was carried to dete...
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Universiti Putra Malaysia Press
2002
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my.upm.eprints.38032013-05-27T07:11:22Z http://psasir.upm.edu.my/id/eprint/3803/ The Performance of AlCC as an Order Selection Criterion in ARMA Time Series Models Sen, Liew Khim Shitana, Mahendran This study is undertaken with the objective of investigating the performance of Akaike's Information Corrected Criterion (AlCC) as an order determination criterion for the selection of Autoregressive Moving-Average or ARMA (P,q) time series model. A simulation investigation was carried to determine the probability of the AlCC statistics picking up the correct model. Result obtained showed that the probability of the AlCC criterion picking up the correct model was moderately good. The problem of over parameterization existed but under parameterization was found to be minimal. Hence, for any two comparable models, it is always safe to choose the one with lower order of p and q. Universiti Putra Malaysia Press 2002 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/3803/1/The_Performance_of_AlCC_as_an_Order_Selection_Criterion_in.pdf Sen, Liew Khim and Shitana, Mahendran (2002) The Performance of AlCC as an Order Selection Criterion in ARMA Time Series Models. Pertanika Journal of Science & Technology, 10 (1). pp. 25-33. ISSN 0128-7680 English |
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This study is undertaken with the objective of investigating the performance of Akaike's Information Corrected Criterion (AlCC) as an order determination
criterion for the selection of Autoregressive Moving-Average or ARMA (P,q) time series model. A simulation investigation was carried to determine the
probability of the AlCC statistics picking up the correct model. Result obtained showed that the probability of the AlCC criterion picking up the correct model
was moderately good. The problem of over parameterization existed but under parameterization was found to be minimal. Hence, for any two comparable models, it is always safe to choose the one with lower order of p and q. |
format |
Article |
author |
Sen, Liew Khim Shitana, Mahendran |
spellingShingle |
Sen, Liew Khim Shitana, Mahendran The Performance of AlCC as an Order Selection Criterion in ARMA Time Series Models |
author_facet |
Sen, Liew Khim Shitana, Mahendran |
author_sort |
Sen, Liew Khim |
title |
The Performance of AlCC as an Order Selection Criterion in
ARMA Time Series Models |
title_short |
The Performance of AlCC as an Order Selection Criterion in
ARMA Time Series Models |
title_full |
The Performance of AlCC as an Order Selection Criterion in
ARMA Time Series Models |
title_fullStr |
The Performance of AlCC as an Order Selection Criterion in
ARMA Time Series Models |
title_full_unstemmed |
The Performance of AlCC as an Order Selection Criterion in
ARMA Time Series Models |
title_sort |
performance of alcc as an order selection criterion in
arma time series models |
publisher |
Universiti Putra Malaysia Press |
publishDate |
2002 |
url |
http://psasir.upm.edu.my/id/eprint/3803/1/The_Performance_of_AlCC_as_an_Order_Selection_Criterion_in.pdf http://psasir.upm.edu.my/id/eprint/3803/ |
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