A bivariate count model with discrete Weibull margins

DOI10.1016/j.matcom.2018.07.003OpenAlexW2884480441WikidataQ129508961 ScholiaQ129508961MaRDI QIDQ1997324

Alessandro Barbiero

Publication date: 2 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2018.07.003

zbMATH Keywords

Monte Carlo simulationmethod of momentsPearson's correlationFarlie-Gumbel-Morgenstern copulatwo-step maximum likelihood

Mathematics Subject Classification ID

Parametric inference (62Fxx)

Related Items (2)

Discrete analogues of continuous bivariate probability distributions ⋮ A new family of Archimedean copulas: the truncated-Poisson family of copulas

Uses Software

• R

Cites Work

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