The phrase "a precise probability of" is correct and usable in written English.
It can be used when discussing the exact likelihood of an event occurring, often in statistical or mathematical contexts.
Example: "The study provided a precise probability of success for the new treatment, which was calculated to be 85%."
Alternatives: "an exact likelihood of" or "a specific chance of".
"There's no way to come up with a precise probability of terrorism, because there are too many variables, but it's fortunately quite low".
It is a consequence of the rules for obtaining the state-space of the composite system that the combined state of the pair is 1/√2|A=a1>s|B=ground state>s* + 1/√2|A=a2>s|B=ground state>s* Indeed, it entails that there is a precise probability of 1/2 that it will end up in the former, and a probability of 1/2 that it will end up in the latter.
In our experiment, the evidence is determined by the Log numerical distance and the precise probability of generating a response given a stimulus can be estimated using bayesian models based on maximum likelihood hypothesis [55], [56].
To understand whether the subjective confidence score may identify these trials, we investigated the precise probability of response for different positions of the cue and values of subjective confidence.
Thus, in our model, what we refer to as "scores" are precise probabilities of well-defined events related to the quality of a service delivery.
As mentioned at the outset, we might represent an agent by the set of propositions that they believe; or we might represent them using a set of precise probability functions; or a comparative confidence ordering; or a precise primitive conditional probability function.
However, the probabilistic model may be unavailable because of the lack of sufficient objective information to construct the precise probability distribution of uncertainties.
This study proposes a fuzzy-based reliability approach to evaluate basic events of system fault trees whose failure precise probability distributions of their lifetime to failures are not available.
The precise probability is modified by the strength of the relationship between the latent trait and the item response, captured with the item discrimination parameter (a j ).
Typically P represents data, observations, or a precise calculated probability distribution.
Imprecise probabilities offer a model of rational belief that does away with some of the idealisation required by the orthodox precise probability approach.
