Overdispersion in clinical mastitis ata from dairy herds: a negative binomial approach
Y.H. Schukken, George Casella, J. van den Broek
Abstract
Y.H. Schukken, George Casella, J. van den Broek
Abstract
Cases of clinical mastitis on diary farms were modelled using a negative binomial distribution. The negative binomial distribution is a gamma mixture of Poisson distributions, hence it is possible that the number of cases per farm had a Poisson distributions and the mean of these Poisson distributions had a gamma distribution. Risk factors associated with the number of cases per farm can be modelled with a negative binomial distribution but calculations involving the negative binomial likelihood are not straightforward. However, a very close approximation to the negative binomial is the Poisson model with an extra parameter for overdispersion. Fitting the Poisson model with overdispersion is illustrated.
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Cases of clinical mastitis on diary farms were modelled using a negative binomial distribution. The negative binomial distribution is a gamma mixture of Poisson distributions, hence it is possible that the number of cases per farm had a Poisson distributions and the mean of these Poisson distributions had a gamma distribution. Risk factors associated with the number of cases per farm can be modelled with a negative binomial distribution but calculations involving the negative binomial likelihood are not straightforward. However, a very close approximation to the negative binomial is the Poisson model with an extra parameter for overdispersion. Fitting the Poisson model with overdispersion is illustrated.
Key concepts: Overdispersion, Negative binomial distribution, Quasi-likelihood, Poisson distribution, Negative multinomial distribution, Mathematics, Count data, Beta-binomial distribution