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For the incident energy of particles below 1.5 MeV, the Compton scattering process is sampled exactly by Kahn's method.
In medical applications, as in many engineering problems, the process is sampled at discrete time intervals and a decision to intervene or not must be made at each sample point.
To relate the Poisson model to a measured spectrum, suppose the random process is sampled for a period NT and one counts the event distribution { n1, n2, ..., nO(D)}.
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The first process is sampling, where we're still essentially in the continuous time world.
During its operation the process was sampled, the model was updated and the optimization procedure was applied.
Only in cf. Diplodocus sp. (SMA HQ2-A,B), the anterior process was sampled (figure 1 e).
Inference precision increases with the frequency at which the processes are sampled.
The process can be sampled periodically.
A set which represents all possible outcomes of a random process is called sample space Ω.
This process is important for sample to be conductive in Scanning Electron Microscope (SEM).
Did you specify behaviorally what the sampling process is?
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