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Fitting the hyperbolic distribution to grain size data
by
David Scott
University of Auckland
In trying to model the distribution of sizes of rocks in stream beds, common distributions are generally unsatisfactory. The hyperbolic distribution is a complex distribution with four parameters which can be used to model data of this type. We show how to fit this distribution to two data sets from rivers in British Columbia using R. Being able to satisfactorily model the distribution we are able to estimate percentiles and obtain standard errors of our estimates.
Date received: October 10, 2001
Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caic-19.