Kernel Inference on the Generalized Gamma Distribution Based on Generalized Order Statistics [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 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
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Bayesian Inference on the Generalized Gamma Distribution Based on Generalized Order Statistics [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 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
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The Marshall-Olkin generalized gamma distribution
Communications for Statistical Applications and Methods, 2018 Attempts have been made to define new classes of distributions that provide more flexibility for modelling skewed data in practice. In this work we define a new extension of the generalized gamma distribution (Stacy, The Annals of Mathematical Statistics,
Gladys D. C. Barriga +5 more
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On Mixtures of Gamma distributions, distributions with hyperbolically monotone densities and Generalized Gamma Convolutions (GGC) [PDF]
Probability and Mathematical Statistics, 2020 Let $Y$ be a standard Gamma(k) distributed random variable, $k>0$, and let $X$ be an independent positive random variable. We prove that if $X$ has a hyperbolically monotone density of order $k$ ($HM_k$), then the distributions of $Y\cdot X$ and $Y/X$ are generalized gamma convolutions (GGC). This result extends results of Roynette et al.
Tord Sjödin
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A NEW FAMILY OF GENERALIZED GAMMA DISTRIBUTION AND ITS APPLICATION [PDF]
, 2014 The mixture distribution is defined as one of the most important ways to obtain new probability distributions in applied probability and several research areas.
Satsayamon Suksaengrakcharoen +1 more
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Estimation of P(Y < X) in a Four-Parameter Generalized Gamma Distribution
Austrian Journal of Statistics, 2016 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
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Gamma exponentiated generalized family of distributions with properties and applications [PDF]
Scientific ReportsThis manuscript introduces the Gamma Exponentiated Generalized-G (GEG-G) family of distributions, developed by integrating the gamma distribution with the exponentiated generalized (EG) family.
Etaf Alshawarbeh +3 more
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The Generalized Gamma Shared Frailty Model under Different Baseline Distributions [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 In the analysis of clustered survival data, shared frailty models are often used when observations in the same group share common unknown risk factors or frailty.
Sukhmani Sidhu +2 more
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Elaboration of the Coale-McNeil Nuptiality Model as The Generalized Log Gamma Distribution [PDF]
, 2003 The Coale-McNeil nuptiality model is a particular case of the generalized log gamma distribution model. In this paper, we demonstrate that recognition of this connection allows an expansion of the possible applications of the Coale-McNeil model.
Ryuichi Kaneko
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Model Misspecification of Generalized Gamma Distribution for Accelerated Lifetime-Censored Data
Technometrics, 2019 The performance of reliability inference strongly depends on the modeling of the product’s lifetime distribution. Many products have complex lifetime distributions whose optimal settings are not easily found.
M. Khakifirooz, S. Tseng, M. Fathi
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