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One of the earliest studies was conducted in [4] where the relationship between lower and upper bounds on the mutual information between transmitted and estimated Gaussian symbols is derived by modeling a time-varying frequency-selective channel as a random component with a known mean and a covariance that accounts for the channel estimation error.
These models included male identity as a random component to account for the non-independence of the multiple years of reproductive data available for some males.
We included 'bear ID' as a random component and considered 'reproductive state'season'on'reproductiveive state × season', 'canopy cover', 'field exposure time'canopyopy cover × field exposure time' and 'drying time' for inclusion in models.
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A number of common strategies can be employed to reduce the possibility of unblinding, such as adding a random component and not using centre as a stratification factor (Brown et al, 2005).
In both models, all attribute variables were specified as having a random component except for salary, which was specified as fixed.
All attribute variables were specified as having a random component except for salary, which was specified as fixed in all models.
In the meta-analyses, cohort-specific effects were treated as having a random component apart from sampling error, and pooled using the empirical Bayes method.
The RAND, REGVAR and 2REG strategies can all be classified as probabilistic or as they contain a random component, and will collectively be referred to as 'the random strategies'.
Total error for an LBA is assumed to follow a normal distribution and consist of a systematic component (bias, measured as percent relative error (%RE)) and a random component (precision, measured as the coefficient of variation (%CV)) (Findlay et al, 2000; DeSilva et al, 2003; Findlay, 2009).
Let us consider that the traffic profile is a stochastic discrete process modeled as a deterministic mean plus a random component: lambda[m] = lambda_{0}[m] + p[m], (49).
This approach follows classical test theory (CTT) where it is assumed that the observed score (the sum score) is the aggregate of a true score and a random component, usually referred to as measurement error.
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