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Activity Number:
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422
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #304585 |
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Title:
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Statistical Modeling of Carbon Dioxide in the Atmosphere: Continental United States
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Author(s):
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Yong Xu*+ and Chris P. Tsokos
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Companies:
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University of South Florida and University of South Florida
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Address:
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3602 Jefferson Commons Drive APT 302, Tampa, FL, 33613,
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Keywords:
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Short and long term prediction of CO2 in atmosphere ; Statistical modeling
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Abstract:
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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 taking into consideration all the attributable variables that have been identified and their corresponding response of the amount of carbon dioxide (CO2) in the atmosphere. The development of a statistical model that includes interactions, higher order entities in addition to individual contributes to CO2 in the atmosphere are included in the present research study. The proposed model has been statistically evaluated and produces accurate predictions for a given set of the attributable variables. Furthermore, we rank the attributable variables respect to their significant contribution to CO2 in the atmosphere.
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