|
Confidence intervals:
simulation from random samples Computes CI's from unequal size
samples' sums. |
|
|
| Sample sizes |
|
Sample sizes. • |
| μ, σ |
|
Parameters μ and σ,
Gaussian. • |
| Confidence level |
% |
Level for the confidence intervals. • |
| Trials, points, seed |
|
Monte Carlo trials, points, seed.
• |
| x limit(s) for μ Plot |
|
x axis limits for 1.st Plot. |
| x limit(s) for σ Plot |
|
x axis limits for 2.nd Plot. |
| Show values |
|
Show the graph coordinates. |
Simulates samples
of size T, as 'sample sizes' (above), each containing a set of
(generally) unequal nt,
with t = 1..T, elements, in order to compute
“exact” confidence intervals. The elements are Gaussian with
the given μ and σ.
Draws plots of:
the estimated value of μ; and
the estimated value of σ. |
| References: |
Plate: BagsGenSimulCI |
• Wikipedia: Monte Carlo method
• 1894-11-19: Hopf, Heinz
(† 1971-06-03, 76 yrs.). |
