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Sampling from k-th Order Statistics of New Families of Distributions

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About

Set of tools to generate samples of k-th order statistics and others quantities of interest from new families of distributions. The main references for this package are: C. Kleiber and S. Kotz (2003) Statistical size distributions in economics and actuarial sciences; Gentle, J. (2009), Computational Statistics, Springer-Verlag; Naradajah, S. and Rocha, R. (2016), doi:10.18637/jss.v069.i10 and Stasinopoulos, M. and Rigby, R. (2015), doi:10.1111/j.1467-9876.2005.00510.x. The families of distributions are: Benini distributions, Burr distributions, Dagum distributions, Feller-Pareto distributions, Generalized Pareto distributions, Inverse Pareto distributions, The Inverse Paralogistic distributions, Marshall-Olkin G distributions, exponentiated G distributions, beta G distributions, gamma G distributions, Kumaraswamy G distributions, generalized beta G distributions, beta extended G distributions, gamma G distributions, gamma uniform G distributions, beta exponential G distributions, Weibull G distributions, log gamma G I distributions, log gamma G II distributions, exponentiated generalized G distributions, exponentiated Kumaraswamy G distributions, geometric exponential Poisson G distributions, truncated-exponential skew-symmetric G distributions, modified beta G distributions, exponentiated exponential Poisson G distributions, Poisson-inverse gaussian distributions, Skew normal type 1 distributions, Skew student t distributions, Singh-Maddala distributions, Sinh-Arcsinh distributions, Sichel distributions, Zero inflated Poisson distributions.

Key Metrics

Version 0.1.8
Published 2023-11-14 325 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Carlos Alberto Cardozo Delgado

Authors

Carlos Alberto Cardozo Delgado

Material

Reference manual
Package source

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macOS

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arm64

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arm64

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x86_64

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Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

orders archive

Imports

Newdistns
gamlss.dist
actuar
VGAM