
<abstract><p>A bivariate extension of a flexible univariate family is proposed. The new family is called bivariate q-extended Weibull Morgenstern family of distributions which can be constructed based on the Farlie-Gumbel-Morgenstern (FGM) copula technique. After introducing the new family, four sub-models are discussed in detail from the theoretical and numerical coefficient of correlation point of view with pointing to the effect of the $ q $ parameter.</p></abstract>
Statistics and Probability, extended weibull family of disributions, fgm, Social Sciences, Geometry, FOS: Economics and business, Skew Distributions and Applications in Statistics, QA1-939, FOS: Mathematics, Univariate, Copula (linguistics), Econometrics, Extension (predicate logic), Physics, statistical model, q-extended weibull family of disributions, Statistics, Computer science, Multivariate statistics, Correlation, Programming language, Bivariate analysis, Economics, Econometrics and Finance, Correlation coefficient, Modeling and Forecasting Financial Volatility, Physical Sciences, Copula Modeling, Weibull distribution, Statistical physics, mathematical model, Mathematics, Finance, Detection and Handling of Multicollinearity in Regression Analysis
Statistics and Probability, extended weibull family of disributions, fgm, Social Sciences, Geometry, FOS: Economics and business, Skew Distributions and Applications in Statistics, QA1-939, FOS: Mathematics, Univariate, Copula (linguistics), Econometrics, Extension (predicate logic), Physics, statistical model, q-extended weibull family of disributions, Statistics, Computer science, Multivariate statistics, Correlation, Programming language, Bivariate analysis, Economics, Econometrics and Finance, Correlation coefficient, Modeling and Forecasting Financial Volatility, Physical Sciences, Copula Modeling, Weibull distribution, Statistical physics, mathematical model, Mathematics, Finance, Detection and Handling of Multicollinearity in Regression Analysis
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