## Abstract In many biometrical applications, the count data encountered often contain extra zeros relative to the Poisson distribution. Zeroβinflated Poisson regression models are useful for analyzing such data, but parameter estimates may be seriously biased if the nonzero observations are overβd
Analysis of two-way layout of count data with negative binomial variation
β Scribed by A. Maul; A. H. El-Shaarawi
- Book ID
- 104757395
- Publisher
- Springer
- Year
- 1991
- Tongue
- English
- Weight
- 282 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0167-6369
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β¦ Synopsis
A number of methods has been proposed for dealing with single-factor or factorial experiments when the requirements for performing the normal theory analysis of variance procedure are not satisfied. This paper suggests the use of the likelihood ratio statistic for testing the main effects and the interaction between the factors in two-way layout of count data following negative binomial distributions with a common dispersion parameter. The likelihood ratio statistic for testing the equality of the dispersion parameters of several groups of count data is also derived. The methods is illustrated by an example concerning the study of spatial and temporal variation of bacterial counts.
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