Biplots in Covariance Analysis
Opeoluwa Fo and
Sugnet L
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Opeoluwa Fo: Department of Statistics and Population Studies, University of Namibia, South Africa
Sugnet L: Department of Statistics and Actuarial Science, Stellenbosch University, South Africa
Biostatistics and Biometrics Open Access Journal, 2017, vol. 3, issue 5, 147-154
Abstract:
Among the various statistical techniques useful for exploring the relationships between different sets of variables is the Covariance Analysis. Since biplots in general are useful graphical tools for exploring the relationships between (multivariate) variables, the biplot is employed in the covariance analysis framework to form the covariance biplot. The resulting biplot provides a single graphical display of the variables and inter-variables relationships. An illustration is shown using a mineral sorting production data consisting of five hundred and seventy-two processes.
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: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:3:y:2017:i:5:p:147-154
DOI: 10.19080/BBOAJ.2017.03.555623
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