Description Usage Arguments Details Value Note Author(s) References See Also Examples
Calculate the ML estimate of the exceedance fraction F = Pr [X > L] and "large sample" confidence limits for lognormal data with non-detects.
1 | efraction.ml(dd, gam = 0.95, L = 5, dat = TRUE)
|
dd |
if |
gam |
one-sided confidence level γ. Default is 0.95 |
L |
L is specified limit for the exceedance fraction; e.g., the occupational exposure limit |
dat |
if |
The exceedance fraction FL represent the proportion of the X's that exceed a given limit Lp. The null hypothesis of interest is Ho: FL ≥ Fo= 1-p; i.e., Fo is the maximum proportion of the population that can exceed the limit Lp. The ML point estimate of FL is f = 1 - N(v) where v = [log(L)-μ ] /σ , and N(v) is the standard normal distribution function. The large sample 100γ\% LCL for V = [log(L) - μ ]/σ is LCLv = v - t(γ , m-1) var(v)^{1/2}, where
var(v)= p1^2 var(μ )+ p2^2 var(σ)+ 2p1p2 cov( μ, σ)
,
and p1 and p2 are partial derivatives of v with respect to μ and σ.
The 100γ\% UCL for FL is UF( L, γ) = 1 - N(LCLv).
The 100γ\% LCL for FL is LF( L, γ) = 1 - N(UCLv), where
UCLv = u + t(γ, m-1) var(v)^{1/2}. The null hypothesis Ho: FL = 1 - p
is rejected if the 100γ\% UCL for FL is less
than Fo, indicating that the exposure profile is acceptable. The large
sample ML estimates of the exceedance fraction and 100γ\%
confidence limits for lognormal data are calculated using the
output from lnorm.ml
.
A LIST with components:
f |
is the ML estimate of exceedance fraction for lognormal distribution |
f.LCL |
is the 100*γ% lower confidence limit for |
f.UCL |
is the 100*γ% upper confidence limit for |
L |
L is specified limit for the exceedance fraction; e.g., the occupational exposure limit |
gam |
one-sided confidence level γ. Default is 0.95 |
(f.LCL, f.UCL) is an 100(2γ -1) percent confidence interval for F
E. L. Frome
Frome, E. L. and Wambach, P. F. (2005), "Statistical Methods and Software for the Analysis of Occupational Exposure Data with Non-Detectable Values," ORNL/TM-2005/52,Oak Ridge National Laboratory, Oak Ridge, TN 37830. Available at: http://www.csm.ornl.gov/esh/aoed/ORNLTM2005-52.pdf
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