Results 211 to 220 of about 407,818 (260)

Inference on the Gamma Distribution

Technometrics, 2017
This study develops inferential procedures for a gamma distribution. Based on the Cornish–Fisher expansion and pivoting the cumulative distribution function, an approximate confidence interval for ...
Bing Xing Wang, Fangtao Wu
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The Gamma–Kumaraswamy distribution: An alternative to Gamma distribution

Communications in Statistics - Theory and Methods, 2018
ABSTRACTIn this article, a new generalization of the Kumaraswamy distribution, namely the Gamma–Kumaraswamy distribution, is defined and studied. Various properties of the Gamma–Kumaraswamy are obtained. The structural analysis of the distribution in this article includes limiting behavior, mode, quantiles, moments, skewness, kurtosis, Shannon’s ...
Indranil Ghosh, G. G. Hamedani
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Distributions and $\Gamma$ -monomials

Mathematische Annalen, 2001
Authors' introduction: In the paper [in: Hahn, Sang Geun (ed.) et al., Recent progress in algebra. Proceedings of an international conference, KAIST, Taejon, South Korea, August 11--15, 1997. Providence, RI: American Mathematical Society. Contemp. Math. 224, 1--27 (1999; Zbl 0939.11035)], \textit{G. W.
Bae, S Bae, Sung-Han   +2 more
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On Characterizations of Gamma Distribution

Bulletin of the Malaysian Mathematical Sciences Society, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Min-Young, Galambos, Janos
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On the Lagrange gamma distribution

Computational Statistics & Data Analysis, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Famoye, Felix, Govindarajulu, Z.
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THE WEIGHTED GENERALIZED GAMMA DISTRIBUTION IS THE GENERALIZED GAMMA DISTRIBUTION

Probability in the Engineering and Informational Sciences, 2016
It is pointed out that the weighted generalized gamma distribution of Priyadarshani and Oluyede [2] is a generalized gamma distribution.
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Computation of the Noncentral Gamma Distribution

SIAM Journal on Scientific Computing, 1996
Noncentral distributions play a very important role in statistics. This paper describes the way how to calculate lower and upper tail probabilities (lower and upper quantiles) of the noncentral gamma distribution and the computation of the noncentrality parameters given the upper or lower probability.
Leo Knüsel, Bernhard Bablok
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