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Speckle Filtering by Generalized Gamma Distribution
2009 Fifth International Joint Conference on INC, IMS and IDC, 2009Synthetic aperture radar (SAR) image contains undesired artifacts in the form of a granular look, which is called speckle. Methods previously proposed for speckle noise filtering suffer from two major limitations: 1) noise attenuation is not sufficient, especially in the smooth and background areas; 2) existing methods do not preserve or enhance edges ...
Sathit Intajag, Nopparat Sukkasem
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Model Misspecification of Generalized Gamma Distribution for Accelerated Lifetime-Censored Data
Technometrics, 2019The 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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A Characterization of the Generalized Gamma Distribution
Calcutta Statistical Association Bulletin, 1984A characterizing property of the generalized gamma distribution based on a conditional distribution has been studied in this work following a similar approach presented by Patil and Seshadri (1964). As a particular case a characterization of the Weibull distribution has alse been covered.
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Some generalized distributions based on Stacy's generalized gamma distribution
Scandinavian Actuarial Journal, 1974Abstract The generalized gamma distribution having the density function was introduced by Stacy (1962), who studied some of its properties. As observed by Stacy, many standard distributions are special cases of (1). For example d=p=1 gives the exponential, p=1 gives the gamma p=1 and d=n/2 (n is a positive integer) gives the chi-squared, and d=p gives ...
Henry W. Block, B. Raja Rao
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A Generalization of the Poisson and General-Gamma Distributions with Applications
American Journal of Mathematical and Management Sciences, 1981SYNOPTIC ABSTRACTProbability distributions are derived which allow (two related types of) dependence to exist among any finite number of simple events. The extended-Poisson, general-gamma, Weibull, and mixture-of-Weibull distributions are special cases of the most general form obtained.
Y.S. Hsu, L.R. Amunrud
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On a recent generalization of gamma distribution
Communications in Statistics - Theory and Methods, 1998In this paper, we investigate a generalized gamma distribution recentIy developed by Agarwal and Kalla (1996). Also, we show that such generalized distribution, like the ordinary gamma distribution, has a unique mode and, unlike the ordinary gamma distribution, may have a hazard rate (mean residual life) function which is upside-down bathtub (bathtub ...
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Properties of Conditionally Independent Generalized Gamma Distributions
Probability in the Engineering and Informational Sciences, 1989Models of life time observations that have conditionally independent generalized gamma distributions are investigated. Positive dependency among the unconditional joint distribution is discussed. General formula for moment inequalities are given.
Lee, Mei-Ling Ting, Gross, Alan J.
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A generalized gamma distribution with application to drought data
Mathematics and Computers in Simulation, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Saralees Nadarajah, Arjun K. Gupta
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On the multivariate generalized gamma distribution with exponential correlation
GLOBECOM '05. IEEE Global Telecommunications Conference, 2005., 2005In this paper, we study the multivariate generalized gamma distribution with exponential correlation and identical fading parameters. Expressions for the joint distribution and the joint central moments are derived. Using the derived expressions, the outage probability for multi-branch selection combining receiver over a correlated generalized gamma ...
Valentine A. Aalo, Terawat Piboongungon
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Bhattacharyya and Kshirsagar Bounds in Generalized Gamma Distribution
Communications in Statistics - Simulation and Computation, 2013The generalized gamma (GG) distribution, which was described for the first time by Stacy (1962), is a popular distribution in many areas such as reliability, modeling data, actuarial studies, and applied statistics, because it is extremely flexible. The estimation of its parameters has gathered the attention of many authors such as Manning et al. (2002)
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