data(SESdata)
mle.ses <- unlist(lnorm.ml(SESdata)) # ML for SESdata
print(mle.ses[1:4]) # ML estimates of parameters
print(mle.ses[5:8]) # Standard errors of ML estimates
# Next line produces a lognormal q-q plot with ML line
qq.lnorm(plend(SESdata),mle.ses[1],mle.ses[2])
title("Lognormal Q-Q plot For SESdata Example 1 in ORNLTM2005-52")
unlist(efraction.ml(SESdata,gam=0.95,L=0.2)) # MLE of exceedance fraction and CLs
unlist(percentile.ml(SESdata,p=0.95,gam=0.95)) # MLE of 95 percentile and CLs
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