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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
IDOSI Publications
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30318/ http://psasir.upm.edu.my/id/eprint/30318/1/Statistical%20approach%20for%20modeling%20Malaysia.pdf |
| _version_ | 1848846643386908672 |
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| author | Ho, Wei Chin Fitrianto, Anwar |
| author_facet | Ho, Wei Chin Fitrianto, Anwar |
| author_sort | Ho, Wei Chin |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T09:05:58Z |
| format | Article |
| id | upm-30318 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T09:05:58Z |
| publishDate | 2013 |
| publisher | IDOSI Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| spellingShingle | Ho, Wei Chin Fitrianto, Anwar Statistical approach for modeling Malaysia's gross domestic product |
| title | 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_short | Statistical approach for modeling Malaysia's gross domestic product |
| title_sort | statistical approach for modeling malaysia's gross domestic product |
| url | http://psasir.upm.edu.my/id/eprint/30318/ http://psasir.upm.edu.my/id/eprint/30318/ http://psasir.upm.edu.my/id/eprint/30318/1/Statistical%20approach%20for%20modeling%20Malaysia.pdf |