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Continuous probability distribution
κ-Gamma distribution
Probability density function
Parameters
shape (real) rate (real)
Support
PDF
CDF
Mode
Method of moments
The Kaniadakis Generalized Gamma distribution (or κ-Generalized Gamma distribution) is a four-parameter family of continuous statistical distributions, supported on a semi-infinite interval [0,∞), which arising from the Kaniadakis statistics. It is one example of a Kaniadakis distribution. The κ-Gamma is a deformation of the Generalized Gamma distribution.
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from the Kaniadakis statistics. It is one example of a Kaniadakisdistribution. The κ-Gamma is a deformation of the Generalized Gammadistribution. The Kaniadakis...
Kaniadakisdistributions related to different constraints used in the maximization of the Kaniadakis entropy, such as the κ-Exponential distribution,...
Gaussian distribution from the maximization of the Kaniadakis entropy under appropriated constraints. It is one example of a Kaniadakis κ-distribution. The...
Gaussian q-distribution above. The Kaniadakis κ-Gaussian distribution is a generalization of the Gaussian distribution which arises from the Kaniadakis statistics...
entropy (commonly referred to as Kaniadakis entropy or κ-entropy). Introduced by the Greek Italian physicist Giorgio Kaniadakis in 2001, κ-statistical mechanics...
example of a Kaniadakisdistribution. The κ-exponential is a generalization of the exponential distribution in the same way that Kaniadakis entropy is a...
associated with the Kaniadakis statistics. It is one example of a Kaniadakisdistribution. The κ-Logistic probability distribution describes the population...
The Kaniadakis Erlang distribution (or κ-Erlang Gammadistribution) is a family of continuous statistical distributions, which is a particular case of...
statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional...
elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution. Intuitively...
Laplace distributions are extensions of the Laplace distribution and the asymmetric Laplace distribution to multiple variables. The marginal distributions of...