Definition of Weight of evidence

Babylon English
weight of evidence
influence of evidence on the decision of a judicial instance

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Weight of Evidence definition was found in categories: Law(1)  Society & Culture(1)  Encyclopedia(1)  


The 'Lectric Law Library
Weight Of Evidence
This phrase is used to signify that the proof on one side, of a cause is greater than on the other.

When a verdict has been rendered against the weight of the evidence, the court may, on this ground, grant a new trial, but the court will exercise this power not merely with a cautious, but a strict and sure judgment, before they send the case to a second jury.

The general rule under such circumstances is, that the verdict once found shall stand: the setting aside is the exception, and ought to be an exception, of rare and almost singular occurrence. A new trial will be granted on this ground for either party; the evidence, however, is not to be weighed in golden scales.
   

This entry contains material from Bouvier's Legal Dictionary, a work published in the 1850's.


Weight of Evidence Definition from Society & Culture Dictionaries & Glossaries

Environmental Engineering (English ver.)
Weight of Evidence
The extent to which the available information supports the hypothesis that a substance causes an effect in humans. For example, factors which determine the weight-of-evidence that a chemical poses a hazard to humans include the number of tissue sites affected by the agent; the number of animal species, strains, sexes, relationship, statistical significance in the occurrence of the adverse effect in treated subjects compared to untreated controls; and the timing of the occurrence of adverse effect.


Weight of Evidence Definition from Encyclopedia Dictionaries & Glossaries

Wikipedia English - The Free Encyclopedia
Bayes factor
In statistics, the use of Bayes factors is a Bayesian alternative to classical hypothesis testing.

Given a model selection problem in which we have to choose between two models M1 and M2, on the basis of a data vector x. The Bayes factor K is given by

where is called the marginal likelihood for model i. This is similar to a likelihood-ratio test, but instead of maximising the likelihood, Bayesians average it over the parameters. Generally, the models M1 and M2 will be parametrised by vectors of parameters θ1 and θ2; thus K is given by

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