Results 31 to 40 of about 30,731 (301)
On Some Aspects of a Generalized Asymmetric Normal Distribution
Statistica, 2018 The normal and skew normal distributions are not adequate enough for modeling plurimodal data situations. In order to overcome this drawback of normal and skew normal distribution, Kumar and Anusree (2011) proposed a new class of distribution namely "the
C. Satheesh Kumar, G. V. Anila
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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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Scientific African, 2023 This study introduces a new conditional innovation density called the generalized odd generalized exponentiated skew-t (GOGEST) distribution for the generalized autoregressive conditional heteroscedasticity (GARCH) volatility models.
O.D. Adubisi, A. Abdulkadir, D.J. Adashu
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On statistical estimations of vehicle speed measurements [PDF]
Metrology and Measurement Systems, 2019 The accuracy of vehicle speed measured by a speedometer is analysed. The stress on the application of skew normal distribution is laid. The accuracy of measured vehicle speed depends on many error sources: construction of speedometer, measurement method,
Jonas Skeivalas +3 more
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The Linear Skew-t Distribution and Its Properties
Stats, 2023 The aim of this expository paper is to present the properties of the linear skew-t distribution, which is a specific example of a symmetry modulated-distribution.
C. J. Adcock
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A Method to Simulate the Skew Normal Distribution
Applied Mathematics, 2014 A new method is developed to simulate the skew normal distribution. The result is interesting from a practical as well as a theoretical viewpoint. The new method is simple to program and is more efficient than the standard method of simulation by acceptance-rejection method.
Ghorbanzadeh, Dariush +2 more
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Likelihood Inference of Nonlinear Models Based on a Class of Flexible Skewed Distributions
Abstract and Applied Analysis, 2014 This paper deals with the issue of the likelihood inference for nonlinear models with a flexible skew-t-normal (FSTN) distribution, which is proposed within a general framework of flexible skew-symmetric (FSS) distributions by combining with skew-t ...
Xuedong Chen +2 more
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Skew-Symmetric Generalized Normal and Generalized t Distributions
AxiomsIn this paper, we introduce the skew-symmetric generalized normal and the skew-symmetric generalized t distributions, which are skewed extensions of symmetric special cases of generalized skew-normal and generalized skew-t distributions, respectively. We
Najmeh Nakhaei Rad +3 more
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Stochastic Orders on the Univariate Unified Skew Normal Family of Distributions
Revstat Statistical JournalThe family of Unified Skew Normal distributions is associated with probability distributions encountered in various problems, notably those of the selection of individuals in a normal population.
Souhila Merabet, Rabah Messaci
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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
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