Displaying 2 results from an estimated 2 matches for "quape3".
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quake3
2010 Feb 22
1
lmom: plotting log Pearson Type III
...( 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))
)
[[alternative HTML version deleted]]
2011 Aug 06
2
Gamma distribution parameter estimation
Hey,
I have a set of income data which I'd like to fit to a gamma
distribution. How can I estimate the two parameters of the gamma
distribution for a vector, e.g.
c(2039L, 2088L, 5966L, 2353L, 1966L, 2312L, 3305L, 2013L, 3376L,
3363L, 3567L, 4798L, 2032L, 1699L, 3001L, 2329L, 3944L, 2568L,
1699L, 4545L)
I sense this will be a very easy one-liner, but my searching didn't come
up with