Benfordness of the Generalized Gamma Distribution [PDF]
The generalized gamma distribution shows up in many problems related to engineering, hydrology as well as survival analysis. Earlier work has been done that estimated the deviation of the exponential and the Weibull distribution from Benford's Law. We give a mathematical explanation for the Benfordness of the generalized gamma distribution and present ...
Bi, Zelong +2 more
semanticscholar +5 more sources
A Bimodal Extension of the Generalized Gamma Distribution
A bimodal extension of the generalized gamma distribution is proposed by using a mixing approach. Some distributional properties of the new distribution are investigated.
MEHMET NIYAZI \C{C}ANKAYA +3 more
doaj +5 more sources
Modeling traumatic brain injury lifetime data: Improved estimators for the Generalized Gamma distribution under small samples. [PDF]
In this paper, from the practical point of view, we focus on modeling traumatic brain injury data considering different stages of hospitalization, related to patients’ survival rates following traumatic brain injury caused by traffic accidents.
Ramos PL +5 more
europepmc +2 more sources
A Generalization of Generalized Gamma Distribution [PDF]
In this paper, a generalization of generalized gamma distribution(GGGD) ,which includes the three-parameter generalized gamma distribution, two-parameter Weibull and gamma distributions, and exponential distribution as special cases, has been suggested ...
Shukla Kamlesh Kumar, Shanker Rama
openaire +2 more sources
A Likelihood-Based SLIC Superpixel Algorithm for SAR Images Using Generalized Gamma Distribution. [PDF]
The simple linear iterative clustering (SLIC) method is a recently proposed popular superpixel algorithm. However, this method may generate bad superpixels for synthetic aperture radar (SAR) images due to effects of speckle and the large dynamic range of
Zou H, Qin X, Zhou S, Ji K.
europepmc +2 more sources
Inequality measures of the generalized gamma distribution with a practicable application tool. [PDF]
We introduce the inequality measures of the generalized gamma distribution. The Gini coefficient, Theil, Atkinson and Pietra indexes are considered as the inequality measures.
Emrah Altun +2 more
doaj +2 more sources
Kernel Inference on the Generalized Gamma Distribution Based on Generalized Order Statistics [PDF]
The kernel approach has been applied using the adaptive kernel density estimation, to inference on the generalized gamma distribution parameters, based on the generalized order statistics (GOS). For measuring the performance of this approach comparing to
M. Ahsanullah, M. Maswadah, Ali M. Seham
doaj +2 more sources
Bayesian Inference on the Generalized Gamma Distribution Based on Generalized Order Statistics [PDF]
In this paper, the confidence intervals for the generalized gamma distribution parameters are derived based on the Bayesian approach using the informative and non-informative priors and the classical approach, via the Asymptotic Maximum likelihood ...
M. Maswadah, Ali M. Seham, M. Ahsanullah
doaj +2 more sources
Generalized Gamma – Generalized Gompertz Distribution
AbstractIn this paper, we present a generated class of continuous distributions named H-G distributions. A new family of this class named generalized gamma - G along with one of its special cases, generalized gamma - generalized Gompertz distribution, are discussed. The cumulative distribution, probability density, reliability and hazard rate functions
M A A Boshi, S H Abid, N H Al-Noor
openaire +2 more sources
Estimation of P(Y < X) in a Four-Parameter Generalized Gamma Distribution
In this paper we consider estimation of R = P(Y < X), when X and Y are distributed as two independent four-parameter generalized gamma random variables with same location and scale parameters. A modified maximum likelihood method and a Bayesian technique
M. Masoom Ali, Manisha Pal, Jungsoo Woo
doaj +2 more sources

