Simulates, via Monte Carlo,
the area of a 2D, rectangular tile* with correlated Gaussian
sides: W, width, and H, height, with their mean
and standard deviations, μ and σ, and
correlation ρ (in the interval 0–1).
From the quantiles,
plow and pupp, are computed
xlow and xupp,
such that Pr(xlow < X < xupp) =
pupp − plow = 90%
(this value for the base data,).
(For continuous variables, '<' and '≤' are interchangeable.)
(Tolerance is for the inversion of the
Gaussian distribution.)
Some theoretical and simulated results are given,
and a plot is shown for the (simulated) 'pdf' and 'cdf'.
(* Portuguese for tile
is "mosaico".) |