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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 statistical modelling of CO2 emissions are analyzed in ASEAN countries over the period of 1980–2007. The regression...
Estimates of carbon dioxide (CO2) emissions are currently an important issue due to the enhanced greenhouse effect which leads to the phenomenon called global warming. This study focuses on ASEAN countries and applies regression analysis to examine interrelationship among the determinants of CO2 emissions. Stepwise multiple regression models are developed using seven indicators and the generated interaction...
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