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Attributable Variables with Interactions that Contribute to Carbon Dioxide in the Atmoshpere

DOI: 10.5923/j.fs.20130301.02

Keywords: Short, Long Term Prediction of CO2 in Atmosphere, Statistical Modeling, Interactions, Attributable Variables

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Abstract:

GLOBAL WARMING is a function of two main contributable entities, atmospheric temperature and carbon dioxide, CO2. The object of the present study is to develop a statistical model to characterize the relation between CO2 in the atmosphere with six attributable variables which constitute CO2 emission. We will consider all sixattributable variables that have been identified by scientists and their corresponding response of the amount of carbon dioxide (CO2) in the atmosphere in the continental United States. The development of the statistical model that includes interactions, in addition to individual contributions to CO2 in the atmosphere, is included in the present study. The proposed model has been statistically evaluated and produces accurate predictions for a given set of the attributable variables. AMS Subject Classification: 62-07 and 62F07

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