Simulates T loads,
each containing a random (uniform) size, n, of items,
in the interval given.
The items are generated as Gaussian,
with the given μ, σ.
For the parameters μ and σ,
with n the (conservative) global minimum of the sizes,
point estimation is done based on ML, and confidence intervals are computed,
respectively:
by the Student's distribution procedure, with
(T − 1) n
degrees of freedom; and by a gamma distribution procedure
("parallel" to χ²)
with α =
(T − 1) ⁄ 2
and β = 2 ⁄ n .
Draws plots for (1) the Student's statistic, and
(2) the chi-squared and gamma statistics. |
