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Thus, it is imperative to characterise the vehicle time headways statistically using a distribution function.
With analysis of the characteristics of CPU and GPU, an optimization strategy of sparse matrix partitioning using a distribution function is proposed to improve the computing performance of SpMV on the heterogeneous computing platform.
By using a distribution function of f, the function f^(x):=sup biggl{ 0le tlesup_{J} f: D_{f,J}(t ge2bigglvert x-frac{a+b}{2}biggrvert biggr},quad x in J is called a symmetrical decreasing rearrangement (SDR) of f, because it is increasing in ([a,frac{a+b}{2}]) and decreasing on ([ frac{a+b}{2},b]).
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The idea of Menger was to use a distribution function instead of a nonnegative number for the value of a metric.
The principal advantage of non-parametric methods is that they are free of any assumptions regarding the underlying distribution function, which protects against potential biases in the results if a parametric method is used with a distribution function that is actually a poor match for the data.
The distribution function of wind speed is regularly considered using a Weibull distribution function [40].
As there are no published MICs for the HADS (except in patients with chronic obstructive pulmonary disease [ 38]) and those for the IWQOL-Lite [ 39] considered participants enrolled in weight loss studies/programmes only (it was not reported whether any participants had diabetes), the distributions of responses to these questionnaires were calculated using a cumulative distribution function (CDF).
The spatial distribution of voids in the aggregate along a direction is visualized on a sphere using a probability distribution function.
In the second case, the histogram is modelled using a Gamma distribution function where the 90% cumulative interval provides the threshold.
The process of collecting these counts for all grayscales is called histogram, which can be achieved using a cumulative distribution function (CDF).
Using a proper distribution function for speech signal or for its representations is of crucial importance in statistical-based speech processing algorithms.
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