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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 ...
Bayesian sensitivity analysis and model comparison for skew elliptical models
(Elsevier B.V., 2007)
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 ...
Valuations of skew quantum polynomials
(World Scientific, 2015-06)
In this paper, we extend some results obtained by Artamonov and Sabitov for quantum polynomials to skew quantum polynomials and quasi-commutative bijective skew Poincaré?Birkhoff?Witt (PBW) extensions. Moreover, we find a ...
Modelos de regresion binaria bayesiana skew probit
(2014-11-24)
Introduccion 2. La regresion binaria 3. La distribucion Skew normal 4. La regresion binaria bayesiana Skew probit 5. Los criterios para comprarar modelos bayesianos 6. Aplicacion 7. Consideraciones finales
Inference for a skew extension of the Grubbs model
(SPRINGER, 2010)
In this paper, we discuss inferential aspects for the Grubbs model when the unknown quantity x (latent response) follows a skew-normal distribution, extending early results given in Arellano-Valle et al. (J Multivar Anal ...
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 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 ...