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The key characteristic of a probability sample is that each element in the population has a known probability of being included in the sample.
The betting concerns the actual outcomes of dispersive experiments with different possible results of known probability.
Simulated data based on a known probability distribution, though, can be used to evaluate statistical methods.
A prospect is risky if its outcome is uncertain but its outcomes occur with known probability.
Further we assume that the initial state has a known probability density function.
Each routing occurrence, has a known probability po r 1, po r 2 and po r||.
In this paper, we have focused on arbitrary but known probability densities.
However, the calculation of the Cramér-Rao bound requires a known probability density function that describes the occurring stochastic process.
In this innovative approach, uncertain parameters are mathematically modelled as a set of correlated scenarios with known probability of occurrence.
Computers and Chemical Engineering, 28, 1069 1085], is extended in order to consider uncertainty described by a known probability distribution.
The noise is assumed to be independent of past and current state with known probability density function.
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