p
,$\gamma$) and UX(p
,$\gamma$). The upper confidence limit is used to
test the null hypothesis that the exposure profile is "unacceptable".
If UX(p
,$\gamma) < L$ the null hypothesis is rejected and workplace
is considered "safe" or the object/area is not contaminated. The
Type I error is $\le \alpha = 1 - \gamma$. The resulting interval (LX,UX)
is an approximate $100*(2\gamma - 1)$ percent confidence interval for Xp.percentile.ml(dd, p = 0.95, gam = 0.95, dat = TRUE)
dat
is FALSE
then dd
is a list from
lnorm.ml
. Default is TRUE
lnorm.ml
. The null hypothesis $Ho: Xp \ge Lp$ is rejected at the $\alpha = (1-
\gamma )$ significance level if the $100\gamma%$ UCL for Xp < Lp (indicating the exposure profile is acceptable).lnorm.ml
,efraction.ml
data(beTWA)
# calculate ML estimate of 95th percentile and CLs for Example 2 in ORNLTM2005-52
unlist(percentile.ml(beTWA,0.95,0.95))
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