1
Department of Statistics, University of California, Riverside, USA
2
USDA Forest Products Laboratory, Madison, Wisconsin, USA
10.52547/jirss.20.1.61
Abstract
Alternative specifications of univariate asymmetric Laplace models are described and investigated. A more general mixture model is then introduced. Bivariate extensions of these models are discussed in some detail, with particular emphasis on associated parameter estimation strategies. Multivariate versions of the models are briefly introduced.
Arnold, B.C. (2020), Some bivariate and multivariate models involving independent gamma distributed components. To appear in: Contributions to Statistical Distribution Theory and Inference, a Festschrift in Honor of C. R. Rao on the Occasion of His 100th Birthday.
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Arnold,B. and Arvanitis,M. (2022). Asymmetric Univariate and Bivariate Laplace and Generalized Laplace Distributions. Journal of the Iranian Statistical Society, 20(1), 61-81. doi: 10.52547/jirss.20.1.61
MLA
Arnold,B. , and Arvanitis,M. . "Asymmetric Univariate and Bivariate Laplace and Generalized Laplace Distributions", Journal of the Iranian Statistical Society, 20, 1, 2022, 61-81. doi: 10.52547/jirss.20.1.61
HARVARD
Arnold B., Arvanitis M. (2022). 'Asymmetric Univariate and Bivariate Laplace and Generalized Laplace Distributions', Journal of the Iranian Statistical Society, 20(1), pp. 61-81. doi: 10.52547/jirss.20.1.61
CHICAGO
B. Arnold and M. Arvanitis, "Asymmetric Univariate and Bivariate Laplace and Generalized Laplace Distributions," Journal of the Iranian Statistical Society, 20 1 (2022): 61-81, doi: 10.52547/jirss.20.1.61
VANCOUVER
Arnold B., Arvanitis M. Asymmetric Univariate and Bivariate Laplace and Generalized Laplace Distributions. JIRSS, 2022; 20(1): 61-81. doi: 10.52547/jirss.20.1.61
Journal of the Iranian Statistical Society