probability density function

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probability density function

[‚präb·ə′bil·əd·ē ¦den·səd·ē ‚fəŋk·shən]
(statistics)
A real-valued function whose integral over any set gives the probability that a random variable has values in this set. Also known as density function; frequency function.
References in periodicals archive ?
To better represent real propagation environments which usually contains inhomogeneous building blocks of varying height, we propose a combined dual environment model which approximates LOS probability over distance using two probability functions, one for each environment.
In the high-level simulation, these probability functions are applied when a specific bit pattern for glitch noise of the N-coupled TSVs occurred.
The Weibull probability function for May and January is given in Fig.
Therefore, the joint probability function P(v, h | [theta]) was also difficult to calculate.
Failure probability [P.sub.f] is obtained by equation (6), where P[G(X)[less than or equal to]0] is the probability operator and [PHI](-[beta]) is the cumulative Gaussian probability function [15, 16]:
As our example also show, the attachment of a previous omitted factor into the lawlike statement can even change the domain of the probability function. That is the case of the mutation which introduces a new allele in a locus generating novel genotype.
To satisfy the above equation, the probability function for each of the r variables, i.e.
Based on these data, it was possible to obtain a probability function representing the probable distances travelled by users, which allows assigning a travelled distance to each vehicle taking into account the frequency of occurrence of each event (to travel a given distance).
In the same way, the probability function of the candidate model can be given by,
Since we've assumed that chance is a probability function, any credence function satisfying (PP), (NP) or (GR) will also satisfy (Prob).) (10) If the non-reductionist can show that [v.sub.w](*) = [urch.sub.w](*), then she can show that it is rational to follow the credence-chance principle she favors.
In order for the evaluator to be able to determine the profit probability function with reference to the objective state and according to the profit exposure map defined, it is necessary to use simulation models (20).

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