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This framework has some conceptual advantages over classical hypothesis testing: for example, we can rank an arbitrary number of different non-nested models by their marginal probabilities; and rather than only considering evidence against a model the Bayesian framework also weights evidence in a model's favour (Jeffreys, 1939).
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However, the main difference between the combined p and median t methods lies in how they weight evidence.
This demonstrates that although the combined p and median t methods perform similarly, they weight evidence in different ways.
In blue the negative weights pattern evidence the dorsal attention network (DAN).
Prospectivity modelling was carried out in two stages using weights of evidence and fuzzy logic techniques.
This value, referred to as the Akaike weight, provides a relative weight of evidence for each model.
The Weight of Evidence is given by: pi_{{Weight}_{C}}(mathbf{t})=log frac{a(b+d)}{b(a+c)}.
Each included paper was weighted using Gough's 'Weight of evidence criteria'.
A great weight of evidence puts that statement beyond doubt.
The weight of evidence is piling up against them.
"The weight of evidence is building up", says Pembrey.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com