Now showing items 31-40 of 839
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 matrix formula for the skewness of maximum likelihood estimators
(ELSEVIER SCIENCE BV, 2011)
We give a general matrix formula for computing the second-order skewness of maximum likelihood estimators. The formula was firstly presented in a tensorial version by Bowman and Shenton (1998). Our matrix formulation has ...
Latent residual analysis in binary regression with skewed link
(BRAZILIAN STATISTICAL ASSOCIATIONSAO PAULO, 2012)
Model diagnostics is an integral part of model determination and an important part of the model diagnostics is residual analysis. We adapt and implement residuals considered in the literature for the probit, logistic and ...
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 ...
Bimodality based on the generalized skew-normal distribution
(TAYLOR & FRANCIS LTD, 2018)
Bayesian Analysis for Nonlinear Regression Model Under Skewed Errors, with Application in Growth Curves
(WILEY-V C H VERLAG GMBH, 2009)
We have considered a Bayesian approach for the nonlinear regression model by replacing the normal distribution on the error term by some skewed distributions, which account for both skewness and heavy tails or skewness ...