Quasi-likelihood
In statistics, quasi-likelihood methods are used to estimate parameters in a statistical model when exact likelihood methods, for example maximum likelihood estimation, are computationally infeasible.
Likelihood principle
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. A likelih
Relative likelihood
In statistics, suppose that we have been given some data, and we are selecting a statistical model for that data. The relative likelihood compares the relative plausibilities of different candidate mo
Likelihood function
The likelihood function (often simply called the likelihood) is the joint probability of the observed data viewed as a function of the parameters of the chosen statistical model. To emphasize that the
Method of support
In statistics, the method of support is a technique that is used to make inferences from datasets. According to A. W. F. Edwards, the method of support aims to make inferences about unknown parameters