Scheduler model, revisited
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Hello, Paul,
Back in Prague, you mentioned that a number of your scheduler-parameter
measurements were poor fits for the exponential distribution. Are they
a reasonable fit for a series of exponentially distributed Markov states?
For example, would they fit something of the following form?
a^2*t*e^(-a*t)
Or would a three-step series fit better?
(a^3*t^2*e^(-a*t))/2
And there is always the four-step series:
(a^4*t^3*e^(-a*t))/6
Or, in general:
(a^n*t^(n-1)*e^(-a*t))/(n-1)!
But please keep in mind that higher orders multiply my state space by
the number of steps in the series. ;-)
Thanx, Paul
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