Term: Zero-Inflated Negative Binomial Distribution

Glossary Definition

Last Updated: 2010-05-05

Definition:

Used to model data that have excess zero values. Zero-Inflated Negative Binomial models assume that the data are a mixture of two separate data generation processes: one generates only zeros and the other process generates counts from a negative binomial model. The result of a Bernoulli trial is then used to determine which of the two processes generates an observation.

Related terms 

• Binomial Distribution
• Negative Binomial Distribution
• Negative Binomial Regression
• Zero-Inflated Model

References 

• Finlayson G, Ekuma O, Yogendran M, Burland E, Forget E. The Additional Cost of Chronic Disease in Manitoba. Winnipeg, MB: Manitoba Centre for Health Policy, 2010. [Report] [Summary] (View)