Conway–Maxwell–Poisson regression models for dispersed count data

Author:

Sellers Kimberly F.1ORCID,Premeaux Bailey1

Affiliation:

1. Department of Mathematics and Statistics Georgetown University Washington District of Columbia USA

Publisher

Wiley

Subject

Statistics and Probability

Reference57 articles.

1. The zero-inflated Conway–Maxwell–Poisson distribution: Bayesian inference, regression modeling and influence diagnostic

2. Fitting Linear Mixed-Effects Models Usinglme4

3. Benson A. &Friel N.(2017).Bayesian inference model selection and likelihood estimation using fast rejection sampling: The Conway‐Maxwell‐Poisson distribution.https://arxiv.org/abs/1709.03471

4. Blocker A. W.(2018).fastGHQuad: Fast Rcpp implementation of Gauss‐Hermite quadrature version 1.0. Retrieved fromhttps://cran.r-project.org/web/packages/fastGHQuad/index.html

5. A Model of the Joint Distribution of Purchase Quantity and Timing

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