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Poisson distribution is suitable to model the event occurrence [49, 50] and has been widely used in analyzing routing protocols to model events whose time/place of occurrence is random and independent from each other [51 53].
The metrics show that we achieve better performance by imposing proper statistics on the target and the nonidentical Laplace distribution is suitable to represent the sparsity of the image.
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The methods have on need of prior knowledge about wind speed distribution or any assumption on probability distribution thus is suitable to analyze feature space of any structure.
The method for mixture distribution model is suitable to various microarray data types obtained from single noise sources, or from multiple noise sources.
However, there are still some places need to be improved, such as the pseudo-WV distribution is suitable for the processing of LFM signals, but its kernel function cannot adapt to different forms of signals, and it also has cross terms to a certain extent.
This distribution is suitable for modeling fossil calibrations, because it allows us to avoid a hard upper bound while providing an increased probability with the age range of fossil discovery [ 121].
The first initial saturation distribution is suitable for a pair of fluids with large density difference to gain stability, whereas the second distribution is more realistic to simulate the injection processes.
Therefore, for different values of N1, r L, and r G, the regular distribution is accorded to the ML decoding whereas irregular uniform distribution is suitable for (IT + RS) decoding.
Beta distribution is only suitable for binary measurement system, and Dirichlet distribution is suitable for multiple measurement result.
Therefore, the Gaussian distribution is suitable for modeling the MP coefficients.
The existing infrastructure of fuel production, storage and distribution is suitable for biofuels.
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CEO of Professional Science Editing for Scientists @ prosciediting.com