Sentence examples for assumed to have random from inspiring English sources

Suggestions(1)

The phrase "assumed to have random" is correct and usable in written English.
It can be used in contexts where you are discussing a hypothesis or a presumption regarding randomness in a particular situation or dataset.
Example: "The data was assumed to have random variations, which allowed for a more flexible analysis."
Alternatives: "presumed to exhibit randomness" or "considered to be random".

Exact(2)

The magnetic permeability of the materials is assumed to have random heterogeneities described by a Gaussian random field.

Categorical strain variables were assumed to have random effects with mean zero and estimated variance.

Similar(58)

The macromonomers are assumed to have a random or uniform distribution.

The values with sign ± are assumed to have a random sign (+1 or −1, for instance), with equal probability, independently from other values.

Samples are rated by different sets of raters, assumed to have been chosen at random so as to be representative of the underlying population of raters, but we term the raters as 'onymous', in the sense that which ratings belonged to which rater can be identified in all of the samples (although in our example the identity of the raters is not disclosed).

Individuals were assumed to have been sampled at random.

The ULA channel environment is assumed to have L=5 scatters with uniformly random angle of arrival and departure.

Let also denote the covariance matrix associated with the random vector, assumed to have zero mean after appropriate preprocessing.

Residual error was described as Y = F × (1 + ε1), where Y is the observed NVP concentration, F is the predicted concentration, and ε1 is the proportional random effects, assumed to have a mean of zero and variance of σ1.

In this context, νi is a non-spatially structured random effect, assumed to have an independent Gaussian distribution of zero mean and variance σν following an inverse Gamma distribution as 1/σv ~ dgamma 0.5, 5 × 10-4).

The log-linear form of the AFT model with respect to time (T) is given by log T i = μ + α1 X1 i + α2 X2 i +... + α pX pi + σε i, [3] where μ is the intercept, σ is a scale parameter, and ε i is a random variable, assumed to have a particular distribution.

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