Support curve
In statistics, a support curve is the graph of the natural logarithm of the likelihood function.[1] Also known as the Log-likelihood. It has a relation to, but is distinct from, the support of a distribution.
The term "support curve" was coined by A. W. F. Edwards.[1] It refers to the hypotheses being tested, i.e. whether or not the data support one hypothesis (or parameter value) more than any other.
The function being plotted is used in the computation of the score and Fisher information, and the graph has a direct interpretation in the context of maximum likelihood estimation and likelihood-ratio tests.
References[]
- ^ a b Edwards, A. W. F. (1992) [1972]. Likelihood. Johns Hopkins University Press. ISBN 0-8018-4443-6.
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