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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)
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 ...
A note on the Fisher information matrix for the flexible generalized-skew-normal model
(SPRINGER HEIDELBERG, 2020)
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 ...
Skew-normal linear calibration: a Bayesian perspective
(WILEY-BLACKWELL, 2008)
In this paper, we present a Bayesian approach for estimation in the skew-normal calibration model, as well as the conditional posterior distributions which are useful for implementing the Gibbs sampler. Data transformation ...
Comparação das distribuições α-estável, normal, t de student e Laplace assimétricas
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-graduação em Estatística, 2012-01-27)
Abstract The asymmetric distributions has experienced great development in recent times. They are used in modeling financial data, medical, genetics and other applications. Among these distributions, the Skew normal ...