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This paper establishes a novel approach to predict river basins at risk; the approach addresses the issue of water conflict and cooperation within a methodologically more rigorous predictive framework.
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As a result, it is becoming increasingly necessary to systematically design more rigorous and predictive experiments, in order for the iterative process involving computational modelling to result in reliable models.
Thus, putting more effort into developing rigorous (predictive) modelling tools will increase confidence in the predictions of the large-scale design and performance.
A more rigorous alternative is to predict the Bayesian likelihood or predictive probability that the trial results will change.
Research on plant invasions and phenology within this predictive framework would provide a more rigorous test of what drives invader success, while at the same time testing basic plant ecological theory.
Also, because of the predictive validity of these tests, a more rigorous criterion may be used at older ages (e.g., scores three standard deviations below the mean up to 24 months and 2 standard deviations afterward).
The small number of time points prevented the implementation of more rigorous forms of diffusion modeling (e.g. a hazard model with predictive covariates).
This computational tractability hints at a more general, and more significant, mathematical tractability enjoyed by the S-HDS framework, a property we now leverage to develop a rigorous predictive analysis methodology for social diffusion events.
The second and more rigorous control was a permutation-based approach to test whether the collection of SNPs in pathway k carried more predictive value than the same number of SNPs selected at random.
The minimalists were more rigorous.
So was adjusting to more rigorous competition.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com