probability function


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probability function

n
(Statistics) statistics the function the values of which are probabilities of the distinct outcomes of a discrete random variable
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The paper is organized in the following order: the next section reviews existing methods and algorithms for approximating LOS probability function in a spatially consistent manner.
The simulation result shows how much N-coupled TSV crosstalk glitch noise can affect the single bit error rate when the probability function type of the manufacturing noise is considered.
To find the Weibull probability function, two parameters must be known.
P(h| [V.sup.(t)], [theta]) was a hidden probability distribution of training sample [V.sup.(t)]; P(v, h | [theta]) was a joint probability function for a given state (v, h); the function was
To overcome these limitations, a discrete choice model is used to estimate gap acceptance as probability and only the mean value of gap acceptance based on the probability function for success in accepting a gap.
[alpha] is crack length (urn); [beta] is reliability index; G(Xj) is the limit state function; [K.sub.I] is stress intensity factor in mode I (MPa.[square root of (term)]m); [K.sub.IC] is critical stress intensity factor (MPa.[square root of (term)]m); p is operating pressure (MPa); [P.sub.f] is probability of failure; P is probability operator; r is pipe radius (mm); SDR is standard dimension ratio; t is wall thickness (mm); [X.sub.j] is random variables; Y is geometrical factor; [[sigma].sub.max] is stress max (MPa); [[sigma].sub.e] is yield stress (MPa); [PHI](-[beta]) is cumulative Gaussian probability function.
As we have seen in our example, the addition of a factor changes the probability distribution and, given that the process under question is an indeterministic process, the new probability function could increase or decrease the values of the different final states in S(x).
Haavelmo (1944) also distinguished observational, true, and theoretical variables, and demonstrated at length how to use a joint probability function to estimate simultaneous equations.
Obtained results show that the highest consumption of 100 PHEVs occurs at 17:00 hours and it is close to 200 kW; however, a probability function of the energy consumed by a vehicle is not presented.
Now the probability function of the target model is represented by,
We represent the chance distribution at t at w by the probability function [P.sub.t,w](*).

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