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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Modeling Insurance Claims Distribution through Combining Generalized Hyperbolic Skew-t Distribution with Extreme Value Theory [PDF]
This paper examines whether combining Generalized Hyperbolic Skew-t distribution, recently introduced in the field of insurance, and Extreme Value Theory (EVT) could result in a modeling of loss function that could model central value as well as extreme ...
Saeed Bajalan +2 more
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Analysis of a Hyperbolic Heat Transfer Model in Blood-perfused Biological Tissues with Laser Heating [PDF]
This paper proposes a hyperbolic heat transport model for a homogeneously perfused biological tissue irradiated by a laser beam. In particular, involving two local energy equations, one for the blood vessel and the other for the tissue, a non-Fourier ...
C.F. Munafo, P. Rogolino
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Coefficient Bounds for a Family of Analytic Functions Linked with a Petal-Shaped Domain and Applications to Borel Distribution [PDF]
In this paper, by employing sine hyperbolic inverse functions, we introduced the generalized subfamily $\mathcal{RK}_{\sinh}(\beta)$ of analytic functions defined on the open unit disk $\Delta:=\{\xi: \xi \in \mathbb{C} \text{ and } |\xi|
Trailokya Panigrahi +2 more
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Nonparametric Risk Management with Generalized Hyperbolic Distributions [PDF]
In this paper we propose the GHADA risk management model that is based on the generalized hyperbolic (GH) distribution and on a nonparametric adaptive methodology. Compared to the normal distribution, the GH distribution possesses semi-heavy tails and represents the financial risk factors more appropriately.
Chen, Ying +2 more
openaire +5 more sources
Inference in Multiple Linear Regression Model with Generalized Secant Hyperbolic Distribution Errors
We study multiple linear regression model under non-normally distributed random error by considering the family of generalized secant hyperbolic distributions.
Álvaro Alexander Burbano Moreno +2 more
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Mastering the Body and Tail Shape of a Distribution
The normal distribution and its perturbation have left an immense mark on the statistical literature. Several generalized forms exist to model different skewness, kurtosis, and body shapes.
Matthias Wagener +2 more
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The MixGHD package for R performs model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution (GHD).
Cristina Tortora +4 more
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Duration Distribution and Up-crossings Rate of Generalized Hyperbolic Processes
A Gaussian process is usually used to model the sea surface elevation in the oceanography. As the depth of the water decreases or the sea severity increases, the sea surface elevation departs from symmetry and Gaussianity. In this paper, a stationary non-
Moh’d T. Alodat, Khalid M. Aludaat
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Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability [PDF]
Recently, Kharazmi and Saadatinik (2016) introduced a new family of lifetime distributions called hyperbolic cosine – F (HCF) distribution. In the present paper, it is focused on a special case of HCF family with exponentiated exponential distribution as
Omid Kharazmi
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