Abstract
Three methods for fitting multiplicative models to observed, cross-classified risk data are compared. They are the method of Bailey-Simon, the method of marginal totals and a maximum likelihood method. The methods are applied to a number of risk data sets and compared with respect to balance and goodness-of-fit.
KEYWORDS multiplicative models, Tariff structures.
Volume
16:1
Page
63-68
Year
1986
Categories
Financial and Statistical Methods
Statistical Models and Methods
Bayesian Methods
Practice Areas
Private Entities
Practice Areas
Public Entities
Actuarial Applications and Methodologies
Ratemaking
Business Areas
Publications
ASTIN Bulletin
