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Usually, a noise in the GMANOVA model is assumed to be distributed some Gaussian distribution.
This random variable is assumed to be distributed as a normal distribution with mean μ and variance σ.
Therefore, the loss rate variable is assumed to be distributed according to a gamma distribution, which is by far the most popular distribution for describing rate variability [ 24, 33].
For frame detection in time domain, these two cases are considered equal, because the time domain multicarrier signal is assumed to be distributed according to a normal distribution, yielding similar characteristics as the noise [13].
The log expression from replicate r, y m (cr ) is assumed to be distributed according to a normal distribution with condition mean expression μ m (c ), normalized by replication-specific constant n(cr ), and precision λ m (c ), y m (cr )∼Norm(μ m (c )+ n(cr ), 1/λ m (c )).
The variance, σ h i, is assumed to be distributed according to a conjugate inverse-Gamma prior distribution with shape parameter υ0/2 and scale parameter γ0/2, (σ h i ) 2 ~ ℐ G (v 0 / 2, γ 0 / 2 ).
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Because the clinical performances of drugs are proportions, performance samples θ ikt are assumed to be distributed with a Beta distribution [ 21].
The LRT statistic was assumed to be distributed with a chi-square distribution with one df.
The contaminant flux in this case was assumed to be distributed according to a bivariate normal distribution.
Diclofenac concentrations dliver of those samples with traces of the drug present were assumed to be distributed according to some function with cumulative distribution function (cdf) U dliver).
Susceptibility and infectivity were assumed to be distributed according to a right-skewed gamma distribution Г a,θ), which is representative for a variety of infectious diseases [ 16].
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