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Now showing items 41-50 of 188
An Asymmetric Extension for the Family of Elliptical Slash Distributions
(TAYLOR & FRANCIS INCPHILADELPHIA, 2012)
In this article, we introduce an asymmetric extension to the univariate slash-elliptical family of distributions studied in Gomez et al. (2007a). This new family results from a scale mixture between the epsilon-skew-symmetric ...
Likelihood-based Inference For Multivariate Skew Scale Mixtures Of Normal Distributions
(Springer Verlag, 2016)
mixsmsn: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
(Journal Statistical SoftwareLos AngelesEUA, 2013)
Asymptotic Skewness in Exponential Family Nonlinear Models
(TAYLOR & FRANCIS INC, 2009)
In this article, we give an asymptotic formula of order n(-1/2), where n is the sample size, for the skewness of the distributions of the maximum likelihood estimates of the parameters in exponencial family nonlinear models. ...
Influence Diagnostics for a Skew Extension of the Grubbs Measurement Error Model
(TAYLOR & FRANCIS INC, 2009)
Influence diagnostics methods are extended in this article to the Grubbs model when the unknown quantity x (latent variable) follows a skew-normal distribution. Diagnostic measures are derived from the case-deletion approach ...
Alpha-Skew Generalized t Distribution
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística, 2015-07-01)
The alpha-skew normal (ASN) distribution has been proposed recently in the literature by using standard normal distribution and a skewing approach. Although ASN distribution is able to model both skew and bimodal data, it ...
A robust Birnbaum–Saunders regression model based on asymmetric heavy-tailed distributions
(2021-10-01)
Skew-normal/independent distributions provide an attractive class of asymmetric heavy-tailed distributions to the usual symmetric normal distribution. We use this class of distributions here to derive a robust generalization ...
Bayesian Analysis Of Censored Linear Regression Models With Scale Mixtures Of Skew-normal Distributions
(Int Press Boston, IncSomerville, 2017)
A robust Bayesian approach to null intercept measurement error model with application to dental data
(ELSEVIER SCIENCE BV, 2009)
Measurement error models often arise in epidemiological and clinical research. Usually, in this set up it is assumed that the latent variable has a normal distribution. However, the normality assumption may not be always ...