 On the Statistical Analysis of FloodsLuis Raúl Pericchi and Ignacio Rodríguez-Iturbe Chapter Chapter 23 in A Celebration of Statistics, 1985, pp 511-541 from Springer Abstract: Abstract We deal with the problem of model selection for the representation of river floods. We concentrate on methods based on the series of maximum annual floods, and we analyze some features of the parametric models most widely used in hydrology. In particular we comment on the recommendation of the U.S. Federal interagency group to use the log-Pearson III distribution as the base model for estimating flood frequencies. We mention the limitations of classical goodness of fit procedures, and we propose simple methods based on the “flood rate” in order to make an initial screening of alternative models. We analyze historical data on five rivers in different continents. In Section 2 we outline the most common procedures. Section 3 is devoted to the study of two sets of historical data, and in Section 4 we introduce the “flood rate” criterion and we describe methods for testing and estimating it. Keywords: Cox’s hazard estimate; flood rate; Gumbel distribution; inverse Gaussian distribution; lognormal distribution; log—Pearson III distribution; Pearson III distribution; total time on test transformation (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-8560-8_23 Ordering information: This item can be ordered from DOI: 10.1007/978-1-4613-8560-8_23 Access Statistics for this chapter More chapters in Springer Books from Springer |
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