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In this model a mixed tabulated (TKI) and global kinetics (CORK) approach is used to describe turbulent combustion.
The QK model, a mixed linear model (MLM) adjusting for both population structure and genetic relatedness between genotypes, implemented by TASSEL was used for association analysis.
To quantitatively test our method, we build three kinds of formation models with different porosities: a sandstone model, a mixed model of sandstone and limestone, and mixed model of sandstone, limestone, and ferric oxide.
In addition to the multiple linear regression model, a mixed effects model (Model LME) and transition (autoregressive) models of different orders are fitted to the training data set.
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The MCMC implementation of this model is relatively straightforward, because conditional on the indicator variables the model remains a mixed model.
The multivariate model is a mixed model with random intercepts and random slopes versus time [ 18].
Within an observational longitudinal dataset, we compared three techniques; two 'standard' approaches (a linear mixed model, and a Poisson mixed model), and a two-part joint mixed model (a binomial/Poisson mixed distribution model), including random intercepts and random slopes.
We modelled a mixed treatment approach using OLT and resection.
For these models a mixed random effect was considered with the subject nested into sequence.
In addition to histone and nonhistone models, a mixed model was also generated by the use of both histones and nonhistone proteins.
In particular, we found more bins with six reads than bins with five reads, which is difficult to model using a mixed Poisson model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com