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References in periodicals archive ?
1, the expression of exponential probability density function p1(y), represents the probability density that the velocity of laminar shear flow at position y1, u1, distributes to any position y due to turbulence.
Plots for the cumulative distribution function (CDF), probability density function (PDF), hazard function were also presented in this article.
These neurons receive various classes of probability density functions coming from the summation layer, and produce a 1 (positive identification) for the chosen class with the maximum function value (owning the evaluation grade corresponding to the sample for identification) and a 0 (negative identification) for non-targeted classes.
Rice stated further that for any random stationary Gaussian process, narrowband or wideband, the probability density function is the weighted sum of a Rayleigh and normal distribution.
Probability density functions, defining the probability of cloud coverage ratio in the sky during a day in one of four months (February, May, August and November) in Lithuania
Progress in probability density function methods for turbulent reacting flows," Prog.
As the random variables in each segment is independent, the Joint Probability Density Function (JPDF) could be expressed as
And, then, the probability density function graphs and their contour plots are depicted as in Figures 1-4.
B](x) are, respectively, the cumulative density function and the probability density function of B.
For instance, for the first time we will be able to extensively measure the concentration probability density function (PDF) in a plume not only near the ground but also at high-er altitudes; quantify relative and absolute dispersion; estimate the value of the Richardson-Obukhov constant, etc.
The significant differences between both probability density function graphs, may be a result of the different frequencies used in the experimental measurements and CFD model, 10,000 HZ and 2,000 Hz respectively, and the VOF limitations mentioned above.
Generate sample values of the random input from their known or assumed probability density function.
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