
In this paper, I consider multivariate analogues of the extended gamma density, which will provide multivariate extensions to Tsallis statistics and superstatistics. By making use of the pathway parameter β , multivariate generalized gamma density can be obtained from the model considered here. Some of its special cases and limiting cases are also mentioned. Conditional density, best predictor function, regression theory, etc., connected with this model are also introduced.
pathway model, Bayesian inference, QA1-939, Computational problems in statistics, moments, multivariate extended gamma density, Multivariate distribution of statistics, Characterization and structure theory for multivariate probability distributions; copulas, pathway model; multivariate extended gamma density; moments, Mathematics
pathway model, Bayesian inference, QA1-939, Computational problems in statistics, moments, multivariate extended gamma density, Multivariate distribution of statistics, Characterization and structure theory for multivariate probability distributions; copulas, pathway model; multivariate extended gamma density; moments, Mathematics
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