Comparing Alternative system Configurations - CI's for the difference between the expected responses of two systems
6 important questions on Comparing Alternative system Configurations - CI's for the difference between the expected responses of two systems
Why can allowing positive correlation between X1j and X2j be of great importance?
Modified Two-sample-t CI / Welch CI
CI: X1bar(n1) - X2bar(n2) +- t(fhat,1-α/2) sqrt(S1^2(n1)/n1 + S2^2(n2)/n2))
*modified because unequal variances
For what can the modified two-sample-t CI be used?
- For the validation of the real system observations versus simulated data.
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Why can we use CRN (Common random number) for simulating 2 systems?
(Zj is difference both system)
What is the Behrens-Fisher problem?
Which problem can be occur by comparing steady-state simulations and how to solve?
Solution: Replication/deletion can adapted to the problem of constructing a CI for the differene between 2 steady-state means
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