Modelling time series of counts with overdispersion
✍ Scribed by Christian H. Weiß
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Weight
- 227 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1613-981X
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The generalized autoregression model or GARM, originally used to model series of non-negative data measured at irregularly spaced time points (Lambert, 1996a), is considered in a count data context. It is ®rst shown how the GARM can be expressed as a GLM in the special case of a linear model for som
Here we present some limit theorems for a general class of generalized linear models describing time series of counts Y1; : : : ; Yn. Following Zeger (Biometrika 75 (1988) 621-629), we suppose that the serial correlation depends on an unobservable latent process { t }. Assuming that the conditional