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Hierarchical Generalized Linear Models: The R Package HGLMMM [PDF]

open access: yesJournal of Statistical Software, 2011
The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution.
Marek Molas, Emmanuel Lesaffre
doaj   +1 more source

A Guided Edge-Aware Smoothing-Sharpening Filter Based on Patch Interpolation Model and Generalized Gamma Distribution [PDF]

open access: yesIEEE Open Journal of Signal Processing, 2021
Smoothing and sharpening are two fundamental image processing operations. The latter is usually related to the former through the unsharp masking algorithm.
G. Deng   +3 more
semanticscholar   +1 more source

Estimates of the Convergence Rate in the Generalized Rényi Theorem with a Structural Digamma Distribution Using Zeta Metrics

open access: yesMathematics, 2023
This paper considers a generalization of the Rényi theorem to the case of a structural distribution with a scale parameter. In terms of the zeta metric, some estimates of the convergence rate in the generalized Rényi theorem are obtained when the ...
Alexey Kudryavtsev, Oleg Shestakov
doaj   +1 more source

The Transmuted Generalized Gamma Distribution: Properties and Application

open access: yesJournal of Data Science, 2021
The generalized gamma model has been used in several applied areas such as engineering, economics and survival analysis. We provide an extension of this model called the transmuted generalized gamma distribution, which includes as special cases some ...
Sadraque E. F. Lucena   +3 more
semanticscholar   +1 more source

The Estimators of the Bent, Shape and Scale Parameters of the Gamma-Exponential Distribution and Their Asymptotic Normality

open access: yesMathematics, 2022
When modeling real phenomena, special cases of the generalized gamma distribution and the generalized beta distribution of the second kind play an important role.
Alexey Kudryavtsev, Oleg Shestakov
doaj   +1 more source

The Generalized Gamma – Exponentiated Weibull Distribution with its Properties

open access: yesAl-Mustansiriyah Journal of Science, 2020
In this paper, we present the Generalized Gamma-Exponentiated Weibull distribution as a special case of new generated Generalized Gamma - G family of probability distribution.
Salah Hamza Abid   +2 more
doaj   +1 more source

On the Bivariate Generalized Gamma-Lindley Distribution

open access: yesMathematica Slovaca, 2023
ABSTRACT In this research paper, we propose a new class of bivariate distributions called Bivariate Generalized Gamma-Lindley (BGGL) distribution with four parameters. This model is a mixture of independent Gamma random variables and bivariate generalized Lindley distribution.
Ghorbel, Mohamed Ali, Mecene, Rahmouna
openaire   +2 more sources

Bayesian and Classical Inference under Type-II Censored Samples of the Extended Inverse Gompertz Distribution with Engineering Applications

open access: yesEntropy, 2021
In this article, we introduce a new three-parameter distribution called the extended inverse-Gompertz (EIGo) distribution. The implementation of three parameters provides a good reconstruction for some applications.
Ahmed Elshahhat   +2 more
doaj   +1 more source

On Bivariate Nadarajah-Haghighi Distribution derived from Farlie-Gumbel-Morgenstern copula in the Presence of Covariates

open access: yesJournal of Nigerian Society of Physical Sciences, 2023
An important alternative distribution to the Weibull, generalized exponen- tial and gamma distributions that is used in survival analysis is the Nadarajah- Haghighi exponential distribution.
Yakubu Aliyu, Umar Usman
doaj   +1 more source

River Planform Extraction From High-Resolution SAR Images via Generalized Gamma Distribution Superpixel Classification

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2020
The extraction of river planforms from remotely sensed satellite images is a task of crucial importance to many applications such as land planning, water resource monitoring, or flood prediction.
Odysseas A. Pappas   +3 more
semanticscholar   +1 more source

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