Figure 5. CSTEP Main Page parameter tab
by using the user-select sampling algorithm. This method will speed up
the sampling process and produce
multiple samples from one universe.
When the produced multiple samples are combined, a new sample will
mix uniform-selecting techniques for
overall distribution shape, as well as
pivoting processes to include extreme
8. After entering this information,
click the Calculate button that moves
the progress of the program to the
processing tab. (This tab is solely an
explanatory tab, which describes the
progress the program has made in
analyzing your population with the
9. Once the program has completed
running the selected method on your
population, you will be taken to the
Results Page, which displays the samples that have been chosen along with
their original IDs and probabilities of
10. Finally, you will be able to save the
output from this run of the program
to whatever location you choose.
Previous Sampling Process
1. This works the same as a new sampling process, although it saves the
previous universe and population settings you chose.
Figure 6. CSTEP Main Page parameter tab
Nested samples are handled by
dividing the input universe into a
number of subuniverses based on the
user-input number of nested samples.
For example, if the user enters 4 into
the nested samples input box, the
program will divide the universe into
four equal-size subuniverses (scenario
1-2500, 2501-5000, 5000-7500, 7501-
10000) and then draw one sample of
specified size from each subuniverse
1. This page describes the methods
that make the program work.
2. Within these documents are referenced papers and articles that describe the techniques included in the
CSTEP platform or the issues and
practice in stochastic modeling.
3. This page also links you to our
team’s website and the Academy’s