Assessing the simulation performances of multiple model selection algorithm

The Autometrics is an algorithm for single equation model selection.It is a hybrid method which combines expanding and contracting search techniques.In this study, the algorithm is extended for multiple equations modelling known as SURE-Autometrics.The aim of this paper is to assess the performance...

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Main Authors: Yusof, Norhayati, Ismail, Suzilah, Tuan Muda, Tuan Zalizam
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/15487/1/PID199.pdf
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author Yusof, Norhayati
Ismail, Suzilah
Tuan Muda, Tuan Zalizam
author_facet Yusof, Norhayati
Ismail, Suzilah
Tuan Muda, Tuan Zalizam
author_sort Yusof, Norhayati
collection UUM
description The Autometrics is an algorithm for single equation model selection.It is a hybrid method which combines expanding and contracting search techniques.In this study, the algorithm is extended for multiple equations modelling known as SURE-Autometrics.The aim of this paper is to assess the performance of the extended algorithm using various simulation experiment conditions. The capability of the algorithm in finding the true specification of multiple models is measured by the percentage of simulation outcomes.Overall results show that the algorithm has performed well for a model with two equations.The findings also indicated that the number of variables in the true models affect the algorithm performances. Hence, this study suggests improvement on the algorithm development for future research.
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spelling uum-154872016-04-28T01:38:56Z https://repo.uum.edu.my/id/eprint/15487/ Assessing the simulation performances of multiple model selection algorithm Yusof, Norhayati Ismail, Suzilah Tuan Muda, Tuan Zalizam QA Mathematics The Autometrics is an algorithm for single equation model selection.It is a hybrid method which combines expanding and contracting search techniques.In this study, the algorithm is extended for multiple equations modelling known as SURE-Autometrics.The aim of this paper is to assess the performance of the extended algorithm using various simulation experiment conditions. The capability of the algorithm in finding the true specification of multiple models is measured by the percentage of simulation outcomes.Overall results show that the algorithm has performed well for a model with two equations.The findings also indicated that the number of variables in the true models affect the algorithm performances. Hence, this study suggests improvement on the algorithm development for future research. 2015-08-11 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/15487/1/PID199.pdf Yusof, Norhayati and Ismail, Suzilah and Tuan Muda, Tuan Zalizam (2015) Assessing the simulation performances of multiple model selection algorithm. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey. http://www.icoci.cms.net.my/proceedings/2015/TOC.html
spellingShingle QA Mathematics
Yusof, Norhayati
Ismail, Suzilah
Tuan Muda, Tuan Zalizam
Assessing the simulation performances of multiple model selection algorithm
title Assessing the simulation performances of multiple model selection algorithm
title_full Assessing the simulation performances of multiple model selection algorithm
title_fullStr Assessing the simulation performances of multiple model selection algorithm
title_full_unstemmed Assessing the simulation performances of multiple model selection algorithm
title_short Assessing the simulation performances of multiple model selection algorithm
title_sort assessing the simulation performances of multiple model selection algorithm
topic QA Mathematics
url https://repo.uum.edu.my/id/eprint/15487/1/PID199.pdf
work_keys_str_mv AT yusofnorhayati assessingthesimulationperformancesofmultiplemodelselectionalgorithm
AT ismailsuzilah assessingthesimulationperformancesofmultiplemodelselectionalgorithm
AT tuanmudatuanzalizam assessingthesimulationperformancesofmultiplemodelselectionalgorithm