format
A data frame providing 15 different combinations of $n$ and $\alpha$ and the following columns:
ll{
alpha The levels at which critical values were simulated.
n The number of observations for which critical values were simulated.
withadd Critical values based on $T_n^+({\bf{U}})$ and the approximating set of intervals $\mathcal{I}_{app}$.
noadd Critical values based on $T_n({\bf{U}})$ and the approximating set of intervals $\mathcal{I}_{app}$.
}Remember
$n$ is the number of interior observations, i.e. if you are analyzing a sample of size
$m$, then you need critical values corresponding to
ll{
n = m-2 If no additional information on $a$ and $b$ is available.
n = m-1 If either $a$ or $b$ is known to be a certain finite number.
n = m If both $a$ and $b$ are known to be certain finite numbers,
}
where $[a,b] = {x \ : \ f(x) > 0}$ is the support of $f$.source
These critical values were generated using the function criticalValuesApprox. Critical values
for other combinations for $\alpha$ and $n$ can be computed using this latter function.