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The model choice is related to drain type and dewatering stage.
We further argue that the incubation model choice is contingent on the incubator sponsors, i.e. affiliation of the incubator, mainly through available resources and imposed objectives.
Although assessments such as those described here are recommended, awareness of their lack of robustness to outcome scale and model choice is important.
In this case, the model choice is much more important than the other uncertainties.
In predicting PET, a clear definition of the "best" method for calculation is not evident and the model choice is often subjective.
Due to the large number of potential variable combinations, a Markov Chain Monte Carlo (MCMC) sampler is used that relies on a Metropolis-Hastings algorithm to analyse the model space, the manner of model choice is a birth-death-sampler.12 Using a MCMC sampler facilitates the inclusion of many potential influences only at the expense of computation time.
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Important implications for interpretation and model choice are discussed.
Computational aspects related to the specification of starting values, convergence assessment and model choice are also discussed.
In both cases, the final model choice was based on the analyses of residuals.
Model choice was performed in MODELTEST 3.6 [118] by the likelihood ratio test with significance level set at 1%. ML trees are available upon request.
Model choice was guided by the lowest Akaike criteria value.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com