Probability function

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Probability function


Probability Function

In statistics, a measure of the probable distribution of some random variable. When plotted on a chart, the area under the graph represents the probable values of the random variable. It is used in foreign exchange and equities as a means of assessing probable future market trends.
References in periodicals archive ?
Given these certainty conditions, Subjective Finite Additivity guarantees that any unconditional credence function will be a Kolmogorovian probability function.
As long as this range is small, variations within this range can be neglected and the EUI probability functions created.
i] (x) is the trapping probability function for entity i and [x.
Therefore, the gamma model was used as a continuous probability function in this study.
Finally, along with the compilation of the poisson and gamma distribution based on Bayesian inference, the final composed probability function will be determined.
The probability function s corresponds to the probability of staying at a particular position and time while the probability function m is its complement and corresponds to the probability of moving to the right (one directional diffusion, thus we simply call this a transportation problem).
Once the typical cycle duration for each product and its purchase probability function are identified, one could predict the number of different consumers who buy the product at any given time during the cycle.
Non-reliability function or failure probability function q(t) is a function which expresses the probability that a failure will happen in the period t:
Hence the proposed line of research, in its more technical concern, implies to find EA's with genetic operators that define a transition probability function satisfying detailed balance.
Bohanon and Van Cott use Gordon Tullock's simple 1/N probability function to estimate the likelihood of a tie in the state, which suggests that the efficacies in a presidential election will be approximately equal for voters in every state.
If we know the probability function of a defect's depth and length for any given time, we can generate a probability distribution for failure pressure at that time.

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