Open Access
Subscription or Fee Access
Fitting Overdispersion Data by Using Tweedie Distribution
Abstract
We consider modeling the overdispersion data which takes exponential shape. Exponential dispersion models (EDMs) are the response distributions for generalized linear models. EDMs adequate for fitting exponential overdispered count data. Any EDM can be characterized by its unit variance function V ( ). Tweedie, Hind-Demetrio and Poisson-Tweedie models belong to Exponential dispersion models.
This paper is interested in Tweedie models which are adequate for fitting exponential overdispered count data. We study the data of the total cost of fire claims. The importance of studying the total cost of claims and knowing its distribution is great interested in a lot of researchers. These data are continuous with discrete mass at zero and contains overdispersion. The individual fire claims takes exponential shape against number of claims.
Keywords
Refbacks
- There are currently no refbacks.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.