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

Open Access in DiVA

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Type fulltextMimetype application/pdf

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Riazoshams, Hossein
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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