In statistics, the likelihood principle is the proposition that, given a statistical model, all the evidence in a sample relevant to model parameters is contained in the likelihood function. This principle is controversial because it is inconsistent with the mainstream frequentist approach to inference.
In statistics, the likelihood principle is the proposition that, given a statistical model, all the evidence in a sample relevant to model parameters is contained in the likelihood function. This principle is controversial because it is inconsistent with the mainstream frequentist approach to inference.
Source: Wikipedia "Likelihood principle" · CC BY-SA 4.0
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