Data analysis and parameter estimation in the field of the automotive claims

The paper focuses on the forecasting models into the automotive claims. The economic systems are complex, opened systems involving natural and human factors. In particular, into the automotive claims, the complex conjunction between the human behavior, the duty service of cars, the weather conditions, and the like interact with the economical processes. The companies involved into the automotive insurance require an effective way to the optimal prediction of the future behavior of the market. The implementation of statistics and probability into the analysis of these processes is essential to the optimization of the economical expectations, and is directly related to the management of the economical entities. In the paper, the authors analyze the correlation between the age of the driver, the duty service of the car and the total amount of the claims. Subsequently, the recursive least-squares estimation has been used to deduce the estimate of the underlying system. The spectral analysis method was used to validate the estimate.