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The phrase "assignment of probability for" is correct and usable in written English.
It can be used in contexts related to statistics, mathematics, or decision-making where probabilities are being assigned to specific events or outcomes.
Example: "The assignment of probability for each possible outcome is crucial for accurate risk assessment in this project."
Alternatives: "allocation of probability for" or "distribution of probability for".
Exact(1)
If assignment of probability for strength is assigned to be 50%, the probability of association drops to 14.8%., or if consistency is assigned 40%, the probability of association drops to 17.6%, thus demonstrating the importance of these factors in this model.
Similar(59)
One possible assignment of the probability for binary breakage is proposed; it is based on the excess surface energy of a dispersed phase droplet.
However, apart from the assignment of 1 to the universal set and 0 to the empty set, they are silent regarding the initial assignment of probabilities.[1] For guidance with that, we need to turn to the interpretations of probability.
Finally, there may be doubts about the assignment of probabilities in the KB.
Histograms of probabilities for the NewHybrids assignments.
The model with three populations performed poorly in assigning samples of the Water Rail to two clusters, the highest population assignment probability for membership of an individual to clusters 2 and 3 being only 0.571 (0, 1.0).
Plugging in either of the above local cognitive value measures, total cognitive value is maximal for an assignment of maximal probability to the true complete answer, and falls off as confidence in the correct answer falls away.
A list of class assignment and probabilities for all AA sites is provided in the additional file 2: Class assignment of AA sites.
Thus, the numerical assignment of a probability depends on the notion of likelihood.
But these precise formulations do not themselves solve a problem like Hume's, for they rely on assumptions like the probability axioms, Carnap's assignment of prior probabilities, and Conditionalization.
Bayesians that are unconvinced by the predictivist position are naturally lead to dismiss TE and allow for the assignment of initial probabilities lower than 1 even to statements that were known all along.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com