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This paper is focusing on time-variant reliability problems with continuous stochastic processes, which are collection of dependent random variables and to our knowledge are not modeled by other than Gauss copula in structural reliability.
Saturable uptake/metabolism was previously modeled by other authors.
Reviewer 2 (Prof. Yang Kuang) This paper address an interesting but potentially controversial modeling problem that due to the quality or simplicity of the data, may be modeled by other simple or simpler models.
Moreover, we set forth guidelines for how to approach a conservative vQTL analysis of data that are likely to be approximately normal but only after an unknown transformation, and of data that are more suitably modeled by other members of the exponential family, e.g., Poisson for count data, for which a known mean-variance relationship exists.
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Although morphologic evolution due to channel incision has been documented and modeled by others, ecological effects, particularly water quality effects, are less well understood.
Again, these business models have proven successful and have been modeled by others.
Do we realize how much of our reactivity and coping skills have been modeled by others?
RNA-seq data have been modeled by others as normal after transformation (e.g. [ 107– 107]).
In other words, the observation and imitation of others is a powerful mode of implicit learning not because people can abstract in their brains what others are doing; rather, humans actually replicate the brain-body networks modeled by others.
The Social learning theory posits that children learn how to behave by imitating the behavior modeled by others in their environment and so if this behavior is reinforced, it is likely to be repeated [ 28, 29].
These are currently not well modelled by other chains and so cannot be reliably removed from the satellite data.
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