Probability function

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Related to Probability Functions: probability distribution, Cumulative probability distribution

Probability function

A measure that assigns a likelihood of occurrence to each and every possible outcome.

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 ?
While working with finite samples, the probability function is discrete.
In conclusion, the estimation of the probability functions revealed that there are some costs incurred from choosing more offensive strategies.
Numeric approaches for finding the trapping probability function are presented in the "Solving the Integral Equation" section.
SUBJECTIVE PROBABILITY FUNCTIONS FOR COST OF EACH ALTERNATIVE Type of Cost Probability Functions Alternative 1 (TGRS) Alternative 2 (Upgrades) NSA P($1 M) = 0.
From a statistical point of view, the probability of rupture is the area under the failure pressure probability function that falls to the left of the maximum allowable operating pressure (MAOP).
FSD: The probability function f(X) is said to dominate the probability function g(X) by FSD if and only if [F.
Further, the model can accept different transition probability functions for each day in the model.
From 1938 to 1946, 37 volumes of the NBS Math Tables Series were issued, containing tables of trigonometric functions, the exponential function, natural logarithms, probability functions, and related interpolation formulae (23).
We begin by defining the specific and generic n-particle probability functions, defined for systems of spheres, which give the probability of finding particle centers at n given locations.
Estimates of birth selection probability functions and birthweight production functions are presented in Tables 3, 4, 5, 6, and 7.
An example of a pair of probability functions that satisfy Assumptions 1 and 2 is illustrated in Figure 1.

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