In insurance and related industries including healthcare, it is common to have several outcome measures that the … analyst wishes to understand using explanatory variables. For example, in automobile insurance, an accident may result in … literature on multivariate frequency-severity regression modeling with a focus on insurance industry applications. Regression …

In a recent paper Bermúdez [2009] used bivariate Poisson regression models for ratemaking in car insurance, and … models are applied to the same automobile insurance claims data set as used in Bermúdez [2009] and it is shown that the …

empirical analysis examines a portfolio of motor insurance data in order to investigate the efficiency of the proposed algorithm …

attention in the insurance industry. To identify and compare the cost function of insurers, common practice is to assume an … insurance companies. Particularly we formulate the quantile regression using the asymmetric Laplace distribution; the effects of … efficiency. The method is applied to data on US property casualty insurers from the National Association of Insurance …