f2fpds | R Documentation |
This function takes an annual exceedance probability and converts it to a “partial-duration series” (a term in Hydrology) nonexceedance probability through a simple assumption that the Poisson distribution is appropriate for arrive modeling. The relation between the cumulative distribution function G(x)
for the partial-duration series is related to the cumulative distribution function F(x)
of the annual series (data on an annual basis and quite common in Hydrology) by
G(x) = [\log(F(x)) + \eta]/\eta\mathrm{.}
The core assumption is that successive events in the partial-duration series can be considered as independent. The \eta
term is the arrival rate of the events. For example, suppose that 21 events have occurred in 15 years, then \eta = 21/15 = 1.4
events per year.
A comprehensive demonstration is shown in the example for fpds2f
. That function performs the opposite conversion. Lastly, the cross reference to x2xlo
is made because the example contained therein provides another demonstration of partial-duration and annual series frequency analysis.
f2fpds(f, rate=NA)
f |
A vector of annual nonexceedance probabilities. |
rate |
The number of events per year. |
A vector of converted nonexceedance probabilities.
W.H. Asquith
Stedinger, J.R., Vogel, R.M., Foufoula-Georgiou, E., 1993, Frequency analysis of extreme events: in Handbook of Hydrology, ed. Maidment, D.R., McGraw-Hill, Section 18.6 Partial duration series, mixtures, and censored data, pp. 18.37–18.39.
fpds2f
, x2xlo
, f2flo
, flo2f
# See examples for fpds2f().
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