Estimating Confidence Intervals of Long Return Period Design Values by Bootstrapping

The paper describes a method for extrapolation of extreme value data for estimating long return period characteristic values. It is based on using yearly extreme value data subjected to a transformation which is derived from analysis of the underlying all-year data. The problem of establishing confidence intervals for the predicted return period values is discussed, and it is shown how the method of bootstrapping can be used for this purpose.