Some skew-symmetric models

By A. K. Gupta, F. Chang, W. J. Huang. 2002

143 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ebc2ef52715eae1761bf952cf6b388a2d1a078cc

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In Statistics and Probability

Citations in the corpus

On the skew Laplace distribution (2005, background): “The only work that appears to give some details of this distribution is Gupta et al. (2002), where expressions for the expectation, variance, skewness and the kurtosis are given.”
A class of multivariate skew-normal models (2004, background): “The distribution family of Z with density (1.1), denoted as Z ,-- SN(A), is called the skew normal distribution (see for example Azzalini (1985); Gupta et al. (2002) ).”
The Skew‐normal Distribution and Related Multivariate Families * (2005, methodology): “The Healy’s plot using a scaled F as reference distribution for the observed Mahalanobis distances is shown on the second plot, and it indicates that the skew-t distribution provides a satisfactory description of the expected behaviour of the residuals. Thanks to the possibility of regulating the th”
A new class of weighted exponential distributions (2009, unknown): “[12] and the references cited therein.”
Generalized skew-Cauchy distribution ☆ (2007, methodology): “First we give another GSC example below, which is a slight generalization of the second example given by Gupta et al. (2002).”
The skew logistic distribution (2009, background): “By Lemma 2 in Gupta et al. (2002), the even order moments of X are the same as those of the standard logistic distribution given by (1), which are well known in the”
A New Fatigue Life Model Based on the Family of Skew-Elliptical Distributions (2006, background): “Thus, if Y ∼ SE 0 1 g , then the pdf of Y is fY y = 2f y F y y ∈ (12) where f is given in (5) and F is its respective cumulative distribution function (cdf), see Gupta et al. (2002).”
Multivariate skew t-distribution (2003, background): “The univariate skew distributions have been studied by Gupta et al. (2002).”