Results 31 to 40 of about 6,790,902 (292)
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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A Sample Selection Model with Skew‐normal Distribution [PDF]
Scandinavian Journal of Statistics, 2015 AbstractNon‐random sampling is a source of bias in empirical research. It is common for the outcomes of interest (e.g. wage distribution) to be skewed in the source population. Sometimes, the outcomes are further subjected to sample selection, which is a type of missing data, resulting in partial observability. Thus, methods based on complete cases for
Ogundimu, Emmanuel O., Hutton, Jane L.
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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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Toward a kinetic-based probabilistic time geography [PDF]
, 2014 Time geography represents a powerful framework for the quantitative analysis of individual movement. Time geography effectively delineates the space–time boundaries of possible individual movement by characterizing movement constraints.
Nathoo, F.S. +2 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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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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An Extension of the Epsilon-Skew-Normal Distribution
Communications in Statistics - Theory and Methods, 2010 This article is related with the probabilistic and statistical properties of an parametric extension of the so-called epsilon-skew-normal (ESN) distribution introduced by Mudholkar and Hutson (2000), which considers an additional shape parameter in order to increase the flexibility of the ESN distribution.
Arellano Valle, Reinaldo B. +2 more
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Skew normal distribution [PDF]
, 2021 Title: Skew normal distribution Author: František Helebrand Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Šárka Hudecová, Ph.D., Department of probability and mathematical statistics Abstract: In this paper, the ...
Helebrand, František
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