Count regression models maintain a steadfast presence in modern applied statistics as
highlighted by their usage in diverse areas like biometry, ecology, and insurance. However …

This open access book discusses the statistical modeling of insurance problems, a process
which comprises data collection, data analysis and statistical model building to forecast …

Modelling count data is one of the most important issues in statistical research. In this paper,
a new probability mass function is introduced by discretizing the continuous failure model of …

Most automobile insurance databases contain a large number of policyholders with zero
claims. This high frequency of zeros may reflect the fact that some insureds make little use of …

Standard ratemaking techniques in non-life insurance assume independence between the
number and size of claims. Relaxing the independence assumption, this article explores …

Current observational evidence suggests that all large galaxies contain globular clusters
(GCs), while the smallest galaxies do not. Over what galaxy mass range does the transition …

The hunger for bonus is a well‐known phenomenon in insurance, meaning that the insured
does not report all of his accidents to save bonus on his next year's premium. In this article …

This study relates negative binomial and generalized Poisson regression models through
the meanvariance relationship, and suggests the application of these models for …

Longitudinal data (or panel data) consist of repeated observations of individual units that are
observed over time. Each individual insured is assumed to be independent but correlation …

Everyday we face all kinds of risks, and insurance is in the business of providing us a means
to transfer or share these risks, usually to eliminate or reduce the resulting financial burden …