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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)
Properties and Inference on the Skew-Curved-Symmetric Family of Distributions
(TAYLOR & FRANCIS INC, 2010)
In this article, we study some results related to a specific class of distributions, called skew-curved-symmetric family of distributions that depends on a parameter controlling the skewness and kurtosis at the same time. ...
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 ...
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 ...
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 ...
Statistical inference for a general class of asymmetric distributions
(ELSEVIER SCIENCE BV, 2005)
We consider a general class of asymmetric univariate distributions depending on a real-valued parameter a, which includes the entire family of univariate symmetric distributions as a special case. We discuss the connections ...
Bayesian sensitivity analysis and model comparison for skew elliptical models
(Elsevier B.V., 2007)
Bimodality based on the generalized skew-normal distribution
(TAYLOR & FRANCIS LTD, 2018)
LIKELIHOOD BASED INFERENCE FOR SKEW-NORMAL INDEPENDENT LINEAR MIXED MODELS
(STATISTICA SINICA, 2010)
Linear mixed models with normally distributed response are routinely used in longitudinal data. However, the accuracy of the assumed normal distribution is crucial for valid inference of the parameters We present a new ...