A bivariate zero-inflated negative binomial regression model for count data with excess zeros

By Peiming Wang. 2003

69 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/176dc3124f180c589de6be036b589681c6a906ab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. A. Briggs
2. Anthony OʼHagan
3. B. Mihaylova
4. S. Thompson
5. Aaron J. Boulton
6. Anne Williford

In Management Science and Operations Research

1. Anthony OʼHagan
2. S. Thompson
3. A. Briggs
4. B. Mihaylova
5. Luigi Cavaleri
6. Loic Le Gratiet
7. Emanuele Borgonovo
8. Bertrand Iooss

In Statistics and Probability

1. Anthony OʼHagan
2. A. Briggs
3. B. Mihaylova
4. S. Thompson
5. Paul T. von Hippel
6. Karen E. Willcox
7. Julian P. T. Higgins
8. Luigi Cavaleri

Citations in the corpus

• Review of Statistical Methods for Analysing Healthcare Resources and Costs (2010, methodology): “…2001), a multivariate overdispersed Poisson mixture model (Gurmu and Elder, 2000), bivariate Poisson-lognormal mixture and bivariate negative binomial regression models (Munkin and Trivedi, 1999), and a bivariate zero-inflated binomial regression for count data with excess zeros (Wang, 2003).”