Overdispersion is a widely discussed phenomenon in case of binomial and Poisson distributed data. We analysed multinomial data with varying multinomial parameters as a part of attribute gauge study. In this situation overdispersion is expected to occur. However in case of nonrepeated observations it is not present. We investigated and proved the "lack" of overdispersion in case of binomial and multinomial variables if there are no repeated observations. The explanation is a "compensation effect", which only occurs in case of binomial and multinomial variables and does not occur for Poisson distributed data.
- Attribute gauge
- Clinical trial
- Multinomial and poisson distributions
ASJC Scopus subject areas
- Chemical Engineering(all)