A bivariate count model with discrete Weibull margins

Author:

Barbiero A.ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis,General Computer Science,Theoretical Computer Science

Reference34 articles.

1. Accident statistics and the concept of accident proneness;Arbous;Biometrics,1951

2. A. Barbiero, DiscreteWeibull: Discrete Weibull Distributions (Type 1 and 3). R package version 1.1, 2015. http://CRAN.R-project.org/package=DiscreteWeibull.

3. Simulating correlated discrete Weibull variables: a proposal and an implementation in the R environment;Barbiero;AIP Conf. Proc.,2015

4. A comparison of methods for estimating parameters of the type I discrete Weibull distribution;Barbiero;Stat. Interface,2016

5. Discrete Weibull variables linked by Farlie–Gumbel–Morgenstern copula;Barbiero;AIP Conf. Proc.,2017

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