Factor Analysis of Annual Global Carbon Dynamics (According to Global_Carbon_Budget_2017v1.3.xlsx)

Mazurkin Pm and Kudryashova Ai
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Mazurkin Pm: Professor, Volga State University of Technology, Russia
Kudryashova Ai: Senior lecturer, Volga State University of Technology, Russia

Biostatistics and Biometrics Open Access Journal, 2018, vol. 8, issue 5, 114-127

Abstract: The method of identification of stable regularities carried out a factor analysis of the annual dynamics of six parameters of the global carbon budget from 1959 to 2016, and four-term equations with two members of the trend and two wavelets with variable amplitude and period of oscillations. For the growth vector of the global carbon budget, positive and negative wavelets. In addition to the first member showing the natural process, all other components of the general model characterize, as a rule, a natural-anthropogenic or even anthropogenic impact. The coefficient of correlative variation, that is, a measure of the functional relationship between the parameters of the system, is 0.7475. In comparison with trends, the adequacy of the system of factors increased 1.5 times. Identification of wavelets can continue.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:8:y:2018:i:5:p:114-127

DOI: 10.19080/BBOAJ.2018.08.555749

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