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This paper presents the hierarchical generalized linear model (HGLM) for lossreserving in a non-life insurance company. Because in this case the error ofprediction is expressed by a complex analytical formula, the error bootstrapestimator is proposed instead. Moreover, the bootstrap procedure is used toobtain full information about the error by applying quantiles of the absoluteprediction error. The full R code is available on the Githubhttps://github.com/woali/BootErrorLossReserveHGLM.

The hierarchical generalized linear model and the bootstrap estimator of the error of prediction of loss reserves in a non-life insurance company