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

- The likelihood function (often simply called the likelihood) is the joint probability m**** (or probability density) of observed data viewed as a function...
- In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an ****umed probability distribution, given some observed...
- In statistics, the likelihood-ratio test ****esses the goodness of fit of two competing statistical models, specifically one found by maximization over...
- A marginal likelihood is a likelihood function that has been integrated over the parameter space. In Bayesian statistics, it represents the probability...
- 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...
- (LR+, likelihood ratio positive, likelihood ratio for positive results) and negative likelihood ratio (LR–, likelihood ratio negative, likelihood ratio...
- null = − 2 ln ⁡ likelihood of null model likelihood of the saturated model D ****ed = − 2 ln ⁡ likelihood of ****ed model likelihood of the saturated...
- In statistics, the likelihood principle is the proposition that, given a statistical model, all the evidence in a sample relevant to model parameters is...
- quasi-likelihood methods are used to estimate parameters in a statistical model when exact likelihood methods, for example maximum likelihood estimation...
- In statistics, Whittle likelihood is an approximation to the likelihood function of a stationary Gaussian time series. It is named after the mathematician...