Comparison between multiple regression and multivariate adaptive regression splines for predicting CO2 emissions in ASEAN countries

• المؤلفون الرئيسيون: Tay, Sze Hui, Shapiee, Abd Rahman, Jane, Labadin
• التنسيق: Proceeding
• اللغة: English
• منشور في: 2013
• الموضوعات: TD Environmental technology. Sanitary engineering
• الوصول للمادة أونلاين: http://ir.unimas.my/id/eprint/8473/1/Tay%20Sze%20Hui.pdf; http://ir.unimas.my/id/eprint/8473/; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6637554

Global warming due to the rapid increase in greenhouse gas emissions, mainly carbon dioxide (CO2), is a worldwide issue that leads to escalating pollutions and emerging diseases. The comparative performances of multiple regression (MR) and multivariate adaptive regression splines (MARS) for statisti...