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Matrix variate Kummer-Gamma distribution
Random Operators and Stochastic Equations, 2001The authors propose the matrix variate Kummer-gamma distribution and study its properties. A \(p\times p\) random symmetric positive definite matrix \(V\) is said to have a matrix variate Kummer-gamma distribution with parameter \(\alpha, \gamma\) and \(\Xi\), denoted as \(V\sim KG_{p}(\alpha,\gamma,\Xi)\), if its p.d.f. is given by \[ K(\alpha,\gamma,\
Nagar, Daya K., Gardeño, Liliam
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On Characterizations of Gamma Distribution
Bulletin of the Malaysian Mathematical Sciences Society, 2014zbMATH 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, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Famoye, Felix, Govindarajulu, Z.
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Statistics, 2008
Three new generalizations of the standard gamma distribution introduced by the author are reviewed. Various properties are derived for each distribution, including its hazard rate function and moments. An application is illustrated to drought data.
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Three new generalizations of the standard gamma distribution introduced by the author are reviewed. Various properties are derived for each distribution, including its hazard rate function and moments. An application is illustrated to drought data.
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1980
The general form of the gamma distribution is $$ f(x\left| {\alpha ,\beta } \right.) = \beta ^\alpha x^{\alpha - 1} e^{ - \beta x} /\Gamma (x){\text{ }}\:x \geqslant 0 $$ The parameter α is a shape parameter and s a scale parameter.
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The general form of the gamma distribution is $$ f(x\left| {\alpha ,\beta } \right.) = \beta ^\alpha x^{\alpha - 1} e^{ - \beta x} /\Gamma (x){\text{ }}\:x \geqslant 0 $$ The parameter α is a shape parameter and s a scale parameter.
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Gamma rhythm communication between entorhinal cortex and dentate gyrus neuronal assemblies
Science, 2021Antonio Fernández-Ruiz +2 more
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