Displaying 2 results from an estimated 2 matches for "quagev".
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2010 Feb 22
1
lmom: plotting log Pearson Type III
...ver, sort.data = TRUE)
log.moments <- samlmu( log(mackenzieRiver), sort.data = TRUE )
# estimate parameters
parGEV <- pelgev(moments) # GEV
parPE3 <- pelpe3(moments) # Pearson
parLPE3 <- pelpe3(log.moments) # log Pearson
# plot result
evplot(mackenzieRiver, rp.axis = TRUE)
evdistq(quagev, parGEV, col = 'black')
evdistq(quape3, parPE3, col = 'blue')
# estimate 1:100 yr event
flood.est <- list(
GEV = quagev(0.99, parGEV),
PE3 = quape3(0.99, parPE3),
LogPE3 = exp(quape3(0.99, parLPE3))
)
[[alternat...
2009 Nov 16
1
lmomco package and confidence limits?
Hello,
I am using the lmomco package (lmom.ub and pargev) to compute the GEV
parameters (location, scale, and shape), which are used to estimate
return values. I was wondering how/if I can calculate upper and lower
confidence (CI_u, CI_l) intervals for each return frequency using the
GEV parameters to fill-in the table below?
Xi (location) = 35.396
Alpha (scale) = 1.726
Kappa (shape) =