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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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