UPM Institutional Repository

Statistical approach for modeling Malaysia's gross domestic product


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


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.

Download File

PDF (Abstract)
Statistical approach for modeling Malaysia.pdf

Download (174kB) | Preview
Official URL or Download Paper: http://www.idosi.org/mejsr/mejsr15(4)13.htm

Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institute for Mathematical Research
Publisher: IDOSI Publications
Keywords: Gross domestic product; Regression; Goods and services.
Depositing User: Umikalthom Abdullah
Date Deposited: 23 Sep 2014 08:14
Last Modified: 11 Sep 2015 03:27
URI: http://psasir.upm.edu.my/id/eprint/30318
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item