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A new class of skew-symmetric distributions and related families
(TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2013)
On the unification of families of skew-normal distributions
(BLACKWELL PUBLISHING, 2006)
The distribution theory literature connected to the multivariate skew-normal distribution has grown rapidly in recent years, and a number of extensions and alternative formulations have been put forward. Presently there ...
Bayesian sensitivity analysis and model comparison for skew elliptical models
(ELSEVIER SCIENCE BV, 2006)
In this work we approach the problem of model comparison between skew families. For the univariate skew model, we measure the sensitivity of the skewness parameter using the L-1 distance between symmetric and asymmetric ...
Definition and probabilistic properties of skew-distributions
(ELSEVIER, 2002)
The univariate, and multivariate skew-normal distributions have a number of intriguing properties. It is shown here that these hold for a general class of distributions, defined in terms of independence conditions on signs ...
Bayesian sensitivity analysis and model comparison for skew elliptical models
(Elsevier B.V., 2007)
A reparametrization of Triangular Distribution based on the Skew-Symmetric Distributions
(UNIV NAC COLOMBIA, DEPT ESTADISTICA, 2009)
In this paper a new approach is considered for studying the triangular distribution using the theoretical development behind Skew distributions. Triangular distribution are obtained by a reparametrization of usual triangular ...
A unified view on skewed distributions arising from selections
(WILEY, 2006)
Parametric families of multivariate nonnormal distributions have received considerable attention in the past few decades. The authors propose a new definition of a selection distribution that encompasses many existing ...
On the Skew-Normal-Cauchy Distribution
(TAYLOR & FRANCIS INC, 2011)
In this article, we study further properties of a skew normal distribution, called the skew-normal-Cauchy (SNC) distribution by Nadarajah and Kotz (2003). A stochastic representation is obtained which allows alternative ...
Bayesian inference for skew-normal linear mixed models
(TAYLOR & FRANCIS LTD, 2007)
Linear mixed models (LMM) are frequently used to analyze repeated measures data, because they are more flexible to modelling the correlation within-subject, often present in this type of data. The most popular LMM for ...
A note on the Fisher information matrix for the flexible generalized-skew-normal model
(SPRINGER HEIDELBERG, 2020)