Uses Gram-Charlier Series-A distribution approximation to determine the
lognormal UPL.
Usage
Lognormal_UPL(data, future_runs = 3, significance = 0.99)
Arguments
- data
Emissions data from either the best source or top performers,
must have a column named emissions
- future_runs
Integer of future runs to use in prediction, the default
is 3 since compliance uses 1 test average of 3 runs.
- significance
Level of significance from 0 to 1, the default is 0.99.
Value
Upper predictive limit at significance level for the average of the
number of future test runs
References
"An upper prediction limit for the arithmetic mean of a lognormal
random variable" authored by Dulal Kumar Bhaumik and Robert David Gibbons 2004
