moezipfR-package: Marshall-Olkin Extended Zipf Distribution

Description Details Author(s) References

Description

Statistical utilities for the analysis of data by means of the Marshall-Olkin Extended Zipf distribution are presented. The distribution is a two-parameter extension of the widely used Zipf model. By plotting the probabilities in log-log scale, this two-parameter extension allows a concave as well as a convex behavior of the function at the beginning of the distribution, maintaining the linearity, associated to the Zipf model, in the tail.

Details

Package: moezipfR
Type: Package
Version: 1.0.2
Date: 2017-03-22
License: GPL-3

Author(s)

Duarte-L<c3><b3>pez, A., Casellas, A. and P<c3><a9>rez-Casany, M.

Maintainer: Ariel Duarte-L<c3><b3>pez <[email protected]>

References

Casellas, A. (2013) La distribuci<c3><b3> Zipf Estesa segons la transformaci<c3><b3> Marshall-Olkin. Universitat Polit<c3><a9>cnica de Catalunya http://upcommons.upc.edu/handle/2099.1/18157

Duarte-L<c3><b3>pez, A., Prat-P<c3><a9>rez, A., & P<c3><a9>rez-Casany, M. (2015, August). Using the Marshall-Olkin Extended Zipf Distribution in Graph Generation. In European Conference on Parallel Processing (pp. 493-502). Springer International Publishing.

G<c3><bc>ney, Y., Tua<c3><a7>, Y., & Arslan, O. (2016). Marshall<e2><80><93>Olkin distribution: parameter estimation and application to cancer data. Journal of Applied Statistics, 1-13.

P<c3><a9>rez-Casany, M. and Casellas, A. (2013) Marshall-Olkin Extended Zipf Distribution. arXiv preprint arXiv:1304.4540 http://arxiv.org/pdf/1304.4540.pdf


moezipfR documentation built on May 2, 2019, 3:25 a.m.