Definition of Likelihood. Meaning of Likelihood. Synonyms of Likelihood

Here you will find one or more explanations in English for the word Likelihood. Also in the bottom left of the page several parts of wikipedia pages related to the word Likelihood and, of course, Likelihood synonyms and on the right images related to the word Likelihood.

Definition of Likelihood

Likelihood
Likelihood Like"li*hood (-l[i^]*h[oo^]d), n. [Likely + -hood.] 1. Appearance; show; sign; expression. [Obs.] What of his heart perceive you in his face By any likelihood he showed to-day ? --Shak. 2. Likeness; resemblance. [Obs.] There is no likelihood between pure light and black darkness, or between righteousness and reprobation. --Sir W. Raleigh. 3. Appearance of truth or reality; probability; verisimilitude. --Tennyson.

Meaning of Likelihood from wikipedia

- a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, given specific observed data. Likelihood functions...
- In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model, given observations. MLE attempts to...
- In statistics, a likelihood ratio test (LR test) is a statistical test used for comparing the goodness of fit of two statistical models — a null model...
- (LR+, likelihood ratio positive, likelihood ratio for positive results) and negative likelihood ratio (LR–, likelihood ratio negative, likelihood ratio...
- Likelihood ratio may refer to: The ratio of two likelihood functions Likelihood-ratio test, a statistical test for comparing two models Likelihood ratios...
- In statistics, a marginal likelihood function, or integrated likelihood, is a likelihood function in which some parameter variables have been marginalized...
- The elaboration likelihood model (ELM) of persuasion is a dual process theory describing the change of attitudes. The ELM was developed by Richard E. Petty...
- In statistics, quasi-likelihood estimation is one way of allowing for overdispersion, that is, greater variability in the data than would be expected from...
- expectation–maximization (EM) algorithm is an iterative method to find maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models...
- the likelihood principle is that, given a statistical model, all the evidence in a sample relevant to model parameters is contained in the likelihood function...
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