Results 51 to 60 of about 2,547,927 (188)
Generalized Skew-Normal Negentropy and Its Application to Fish Condition Factor Time Series
Entropy, 2017 The problem of measuring the disparity of a particular probability density function from a normal one has been addressed in several recent studies. The most used technique to deal with the problem has been exact expressions using information measures ...
Reinaldo B. Arellano-Valle +2 more
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Wiener-Hopf solution for impenetrable wedges at skew incidence [PDF]
, 2006 A new Wiener-Hopf approach for the solution of impenetrable wedges at skew incidence is presented. Mathematical aspects are described in a unified and consistent theory for angular region problems.
V.G. Daniele +4 more
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Stochastic Volatility Model with Leverage and Asymmetrically Heavy-tailed Error Using GH Skew Student's t-distribution [PDF]
Bayesian analysis of a stochastic volatility model with a generalized hyperbolic (GH) skew Student's t-error distribution is described where we first consider an asymmetric heavy-tailness as well as leverage effects. An efficient Markov chain Monte Carlo
Jouchi Nakajima, Yasuhiro Omori
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An Extension of the Truncated-Exponential Skew- Normal Distribution
Mathematics, 2021 In the paper, we present an extension of the truncated-exponential skew-normal (TESN) distribution. This distribution is defined as the quotient of two independent random variables whose distributions are the TESN distribution and the beta distribution ...
Pilar A. Rivera +4 more
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Analysis of Antibody Data Using Skew-normal and Skew-T Mixture Models
Revstat Statistical JournalGaussian mixture models, which assume a Normal distribution for each component, are popular in antibody (or serological) data analysis to help determining antibody-positive and antibody-negative individuals.
Tiago Dias Domingues +2 more
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Kullback–Leibler Divergence Measure for Multivariate Skew-Normal Distributions
Entropy, 2012 The aim of this work is to provide the tools to compute the well-known Kullback–Leibler divergence measure for the flexible family of multivariate skew-normal distributions.
Reinaldo B. Arellano-Valle +1 more
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Multivariate geometric skew-normal distribution [PDF]
Statistics, 2017 Azzalini (1985) introduced a skew-normal distribution of which normal distribution is a special case. Recently Kundu (2014) introduced a geometric skew-normal distribution and showed that it has certain advantages over Azzalini's skew-normal distribution. In this paper we discuss about the multivariate geometric skew-normal distribution. It can be used
openaire +2 more sources
Entropy, 2016 Mixture models are in high demand for machine-learning analysis due to their computational tractability, and because they serve as a good approximation for continuous densities.
Javier E. Contreras-Reyes +1 more
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Prefeasibility Study of Photovoltaic Power Potential Based on a Skew-Normal Distribution
Energies, 2020 Solar energy does not always follow the normal distribution due to the characteristics of natural energy. The system advisor model (SAM), a well-known energy performance analysis program, analyzes exceedance probabilities by dividing solar irradiance ...
Shin Young Kim +4 more
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Tail asymptotics for the bivariate skew normal
Journal of Multivariate Analysis, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas Fung, Eugene Seneta
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