Results 321 to 330 of about 417,651 (367)

Inference in the Generalized Gamma and Log Gamma Distributions

Technometrics, 1980
This paper is concerned with the problem of obtaining confidence intervals or tests of significance for the parameters or other characteristics of the generalized gamma distribution. Procedures are given whereby confidence intervals for the parameters, quantiles or the reliability (survivor) function of the distribution can be obtained, when the ...
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The general-gamma distribution and reaction times

Journal of Mathematical Psychology, 1965
Abstract The general-gamma distribution describes input-output times in a multistage process consisting of exponential components whose constants are all different. The distribution and its unique history are examined. A stochastic process that leads to it is presented.
McGill, W. J., Gibbon, J.
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Use of the heuristic optimization in the parameter estimation of generalized gamma distribution: comparison of GA, DE, PSO and SA methods

Computational statistics (Zeitschrift), 2020
Volkan Soner Özsoy, M. Ünsal, H. Örkcü   +2 more
semanticscholar   +1 more source

Illustration of the Flexibility of Generalized Gamma Distribution in Modeling Right Censored Survival Data: Analysis of Two Cancer Datasets

Annals of Data Science, 2020
S. Pal, Hongbo Yu, Zachary D. Loucks, Ian M. Harris   +3 more
semanticscholar   +1 more source

A generalized skew slash distribution via gamma-normal distribution

Communications in Statistics - Simulation and Computation, 2016
In this paper, we introduce a generalization of the slash distribution via the gamma-normal distribution. We define the new slash distribution by relation of a gamma-normal random variable with respect to a power of a uniform random variable. The newly defined distribution generalizes the slash distribution and is more flexible in terms of its kurtosis
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On a bivariate generalized gamma distribution

2013
A bivariate generalized gamma distribution (with marginal distributions of a gamma generalized type) is obtained from a bivariate normal distribution by means of a transformation. The analytic form of the joint density function presents symmetry between the marginal variables and a single non linear correlation parameter.
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Parameter Estimation for a Generalized Gamma Distribution

Technometrics, 1965
It is fairly commonplace in reliability analyses to encounter data which is incompatible with the exponential, Weibull, and other familiar probability models. Such data motivates research to enlarge the group of probability distributions which are useful to the reliability analyst. In this paper, we examine a three-parameter generalization of the gamma
E. W. Stacy, G. A. Mihram
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Bivariate superstatistics based on generalized gamma distribution

European Physical Journal B : Condensed Matter Physics, 2020
Christian Caamaño-Carrillo, Javier E. Contreras‐Reyes, Manuel González-Navarrete, Ewin Sánchez   +3 more
semanticscholar   +1 more source

Bounds for Generalized Gamma Distributed Fading Channels

IEEE Communications Letters, 2011
In this article, upper bounds for the outage probability and moment generating functions of the fading channels with α-μ distribution are derived. The proposed upper bound for the moment generating function is used in the performance evaluation of M-PSK communication systems. The derived expressions are simple to use and do not require complex software
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Random sampling from the generalized gamma distribution

Computing, 1979
This paper presents a simple and easy to implement algorithm for sampling from the generalized four parameter gamma distribution proposed by Stacy. The proposed method is based on a generalization of Von Neumann's rejection method where the first stage sampling is done from the log logistic distribution. The proposed method is simple, easy to implement
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