On construction and simulation of count data models
β Scribed by Per-Erik Hagmark
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 252 KB
- Volume
- 77
- Category
- Article
- ISSN
- 0378-4754
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract In this article, nonlinear regression models for correlated count data are examined. Correlation within clusters is modelled by a multivariate Gaussian mixing process on the logβexpectation scale. The regression parameters and the varianceβcovariance parameters of the mixing process are
This paper demonstrates that the unobserved heterogeneity commonly assumed to be the source of overdispersion in count data models has predictable implications for the probability structure of such mixture models. In particular, the common observation of excess zeros is a strict implication of unobs