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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 pharmacokinetic parameters (ka, volumes, and clearances) were assumed to be log-normally distributed around the population mean, but the random effects to describe both IIV and interoccasion variability were assumed to be distributed with a mean of zero.
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The two-channel matrices are assumed to be distributed with (mathcal {CN}(0,1)).
This random variable is assumed to be distributed as a normal distribution with mean μ and variance σ.
The random effects are assumed to be distributed normally with mean 0 and variance-covariance matrix ψ.
The residuals (e) were assumed to be distributed as N 0, R), with R constructed as in the previous model.
The residuals e were assumed to be distributed as e ~ N 0, R), with R as for the previous models.
Road users in the network are assumed to be distributed according to the principle of user equilibrium, with the demand assumed to be fixed and given a priori.
Randoms were assumed to be distributed uniformly over the sinogram.
The observed study-specific logarithm of the risk estimate is assumed to be normally distributed with a gamma-distributed mean.
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