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Statistical approach for modeling Malaysia's gross domestic product

This study investigates factors which affect Malaysia’s gross domestic product. Stepwise regression has been used to construct the appropriate model. The model is constructed by splitting the data into model building set and validation set. The data splitting shows that the regression model is val...

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Main Authors: Ho, Wei Chin, Fitrianto, Anwar
Format: Article
Language:English
English
Published: IDOSI Publications 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30318/1/Statistical%20approach%20for%20modeling%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/30318/
http://www.idosi.org/mejsr/mejsr15(4)13.htm
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spelling my.upm.eprints.303182015-09-11T03:27:44Z http://psasir.upm.edu.my/id/eprint/30318/ Statistical approach for modeling Malaysia's gross domestic product Ho, Wei Chin Fitrianto, Anwar This study investigates factors which affect Malaysia’s gross domestic product. Stepwise regression has been used to construct the appropriate model. The model is constructed by splitting the data into model building set and validation set. The data splitting shows that the regression model is valid. After the process performing to determine the appropriate regression model, the variables private consumption, exports of goods and services and interest rate have significant contribution to Malaysia’s GDP. IDOSI Publications 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30318/1/Statistical%20approach%20for%20modeling%20Malaysia.pdf Ho, Wei Chin and Fitrianto, Anwar (2013) Statistical approach for modeling Malaysia's gross domestic product. Middle-East Journal of Scientific Research, 15 (4). pp. 606-612. ISSN 1990-9233; ESSN: 1999-8147 http://www.idosi.org/mejsr/mejsr15(4)13.htm English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description This study investigates factors which affect Malaysia’s gross domestic product. Stepwise regression has been used to construct the appropriate model. The model is constructed by splitting the data into model building set and validation set. The data splitting shows that the regression model is valid. After the process performing to determine the appropriate regression model, the variables private consumption, exports of goods and services and interest rate have significant contribution to Malaysia’s GDP.
format Article
author Ho, Wei Chin
Fitrianto, Anwar
spellingShingle Ho, Wei Chin
Fitrianto, Anwar
Statistical approach for modeling Malaysia's gross domestic product
author_facet Ho, Wei Chin
Fitrianto, Anwar
author_sort Ho, Wei Chin
title Statistical approach for modeling Malaysia's gross domestic product
title_short Statistical approach for modeling Malaysia's gross domestic product
title_full Statistical approach for modeling Malaysia's gross domestic product
title_fullStr Statistical approach for modeling Malaysia's gross domestic product
title_full_unstemmed Statistical approach for modeling Malaysia's gross domestic product
title_sort statistical approach for modeling malaysia's gross domestic product
publisher IDOSI Publications
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/30318/1/Statistical%20approach%20for%20modeling%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/30318/
http://www.idosi.org/mejsr/mejsr15(4)13.htm
_version_ 1643830022415319040
score 13.18916

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