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Application of Robust Nonlinear Regression, case study for modeling the greenhouse gases, Methane and Carbon Dioxide concentration in atmosphere
Stockholm University, Faculty of Social Sciences, Department of Statistics. Lamerd University.
University Putra Malaysia.
2013 (English)Conference paper (Refereed) [Artistic work]
Abstract [en]

Four nonlinear regression models are proposed for the atmospheric carbon dioxide and methane gas concentrations data, reported by United Nation 1989. Within those, the Exponential with Intercept is the most preferred one due to better convergence and lower correlation between parameters. Due to large range of data that back to history to 7000 years ago, there is a big dispersion in data set, so that it made us to apply robust nonlinear regression estimation methods to have a smoother model

Place, publisher, year, edition, pages
Keyword [en]
Nonlinear Regression, Robust estimates, Methane gas, Carbon Dioxide gas
National Category
Probability Theory and Statistics
Research subject
URN: urn:nbn:se:su:diva-90210OAI: diva2:623674
International Conference on Mathematical Science and Statistics (ICMSS) 2013
Available from: 2013-05-28 Created: 2013-05-28 Last updated: 2014-11-18

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Riazoshams, Hossein
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Department of Statistics
Probability Theory and Statistics

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ReferencesLink to record
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