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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 ...
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. ...
Bayesian inference for skew-normal linear mixed models
(Routledge Journals, Taylor & Francis LtdAbingdonInglaterra, 2007)
Bayesian analysis for a skew extension of the multivariate null intercept measurement error model
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2008)
Skew-normal distribution is a class of distributions that includes the normal distributions as a special case. In this paper, we explore the use of Markov Chain Monte Carlo (MCMC) methods to develop a Bayesian analysis in ...
Multivariate measurement error models based on scale mixtures of the skew-normal distribution
(TAYLOR & FRANCIS LTD, 2010)
Scale mixtures of the skew-normal (SMSN) distribution is a class of asymmetric thick-tailed distributions that includes the skew-normal (SN) distribution as a special case. The main advantage of these classes of distributions ...
A log-Birnbaum-Saunders regression model with asymmetric errors
(TAYLOR & FRANCIS LTDABINGDON, 2012)
This paper introduces a skewed log-Birnbaum-Saunders regression model based on the skewed sinh-normal distribution proposed by Leiva et al. [A skewed sinh-normal distribution and its properties and application to air ...
Skew scale mixtures of normal distributions: Properties and estimation
(Elsevier Science BvAmsterdamHolanda, 2011)
On the skew-normal calibration model
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2010)
In this article, we present the EM-algorithm for performing maximum likelihood estimation of an asymmetric linear calibration model with the assumption of skew-normally distributed error. A simulation study is conducted ...