Sentence examples for distribution comprising of from inspiring English sources

Exact(2)

The probability density function of the mixture distribution comprising of truncated normal and conventional Weibull is written as [15] s v ; μ, σ, k, c = w q v ; μ, σ + 1 − w f v ; k, c Open image in new window (26).

A mixture distribution comprising of three normal (Gaussian) distributions was found to best fit the observed distribution of the number of dogs registered at veterinary practices (see Figure 2) as follows: (2) where z Ɲ (a,b) is a Normal distribution with mean a, standard deviation b and a weighting of z.

Similar(57)

Each user is assigned a target data rate from a uniform distribution comprised of the following elements-- 0.5, 1, 1.5, 2) Mbps.

The good rock quality showed a bimodal distribution comprised of low PTR and high PTR (>10 microns), but majorly dominated by the high PTR.

The slo-1 js379 slo-1 js379splanimalsmodisplaytribution, comprised of short (≤300 msec) and long (≥30 sec) durations, which would bimodalctedistributiong the 'bursting' pattern of pumping.

There are nearly 500 modules in the distribution, comprising 200,000 lines of Perl and an additional 350,000 lines of C code.

The probability density function of the mixture distribution comprising Weilbull and lognormal of functions which is applied for the first time to model wind speed distribution is written as u v ; k, c, λ, φ = w f v ; k, c + 1 − w l v ; λ, φ Open image in new window (32).

To date most research has focused on describing the overall pattern formed by these connections, typically finding them to follow a power-law distribution comprising a small number of well-connected 'hub' genes and many genes with one or a few connections [reviewed in 1].

SCDM and diaphragm demonstrated a MFT distribution comprised mostly of MFT-I and m. psoas minor had 56% MFT-I.

The probability density function of the mixture distribution comprising GEV and lognormal functions which is applied for the first time to model wind speed distribution is written as v v ; ζ, δ, l, λ, φ = w e v ; ζ, δ, l + 1 − w l v ; λ, φ Open image in new window (35).

The probability density function of the mixture distribution comprising Weibull and GEV functions which is applied for the first time to model wind speed distribution is written as t v ; k, c, ζ, δ, l = w f v ; k, c + 1 − w e v ; ζ, δ, l Open image in new window (29).

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