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Individually inferred haplotypes, on the contrary, can easily be incorporated into generalized linear models (GLM), which provides wide flexibility in the modelling of underlying inheritance assumptions, the study type, the type of outcome variable and gene-environment interactions.
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I show that these asymmetries are not predicted by a more traditional model of underlying forms, in which learners compare all of the parts of the paradigm to construct abstract underlying representations that combine unpredictable information from multiple forms.
As compared to simple models, the mixture models of underlying lifetime distributions are intuitively more appropriate and appealing to model the heterogeneous nature of process.
We argue that for bioengineering to fully access biological potential, it will require application of statistically designed experiments to derive detailed empirical models of underlying systems.
Furthermore, the fact that the prediction of future degradation should be consistent with the model of underlying degradation process is often overlooked.
The stresses and deformations of soil and geosynthetics can be obtained considering equilibrium and settlement models of overlying soil, membrane effect of geosynthetics, and one-dimensional compression model of underlying soil.
Indifferent hypotheses are ontological in nature and are, for example, mechanical models of underlying mechanism.
Thus, in contrast to theoretical discriminability, a non-parametric measure of empirical discriminability remains unchanged even if a new model of underlying discriminability is adopted.
Models may take the form of simple decision-analytic trees or may be very complex Markov models of underlying disease processes and treatments.
In the early days, research proposals focused on behavior and on defining better ways of measuring phenotypes and building cognitive models of underlying processes.
The full Bayesian analysis proposed by Gianola and Simianer of the Thurstonian model of Tavernier [ 2, 3], i.e. the model of underlying unobservable liabilities responsible for ranks of an event, was validated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com