This 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. It also demonstrates how the method of bootstrapping can be used for this purpose.
Estimating Confidence Intervals of Long Return Period Design Values by Bootstrapping
Contributed by the OMAE Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received by the ASME OMAE Division, Aug. 2001; final revision, Sept. 2001. Guest Associate Editor: C. G. Soares.
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Naess, A., and Hungnes, B. (September 1, 2001). "Estimating Confidence Intervals of Long Return Period Design Values by Bootstrapping ." ASME. J. Offshore Mech. Arct. Eng. February 2002; 124(1): 2–5. https://doi.org/10.1115/1.1446078
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