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**.

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.

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.

- In statistics, the likelihood function (often simply called the likelihood) expresses how probable a given set of observations is for different values...

- statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a distribution by maximizing a likelihood function, so that...

- statistics, the likelihood-ratio test ****esses the goodness of fit of two competing statistical models based on the ratio of their likelihoods, specifically...

- In statistics, a marginal likelihood function, or integrated likelihood, is a likelihood function in which some parameter variables have been marginalized...

- (LR+, likelihood ratio positive, likelihood ratio for positive results) and negative likelihood ratio (LR–, likelihood ratio negative, likelihood ratio...

- In statistics, the likelihood principle is the proposition that, given a statistical model, all the evidence in a sample relevant to model parameters is...

- 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...

- A quasi-maximum likelihood estimate (QMLE, also known as a pseudo-likelihood estimate or a composite likelihood estimate) is an estimate of a parameter...

- maximum likelihood (REML) approach is a particular form of maximum likelihood estimation that does not base estimates on a maximum likelihood fit of all...

- In statistics, Whittle likelihood is an approximation to the likelihood function of a stationary Gaussian time series. It is named after the mathematician...

- statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a distribution by maximizing a likelihood function, so that...

- statistics, the likelihood-ratio test ****esses the goodness of fit of two competing statistical models based on the ratio of their likelihoods, specifically...

- In statistics, a marginal likelihood function, or integrated likelihood, is a likelihood function in which some parameter variables have been marginalized...

- (LR+, likelihood ratio positive, likelihood ratio for positive results) and negative likelihood ratio (LR–, likelihood ratio negative, likelihood ratio...

- In statistics, the likelihood principle is the proposition that, given a statistical model, all the evidence in a sample relevant to model parameters is...

- 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...

- A quasi-maximum likelihood estimate (QMLE, also known as a pseudo-likelihood estimate or a composite likelihood estimate) is an estimate of a parameter...

- maximum likelihood (REML) approach is a particular form of maximum likelihood estimation that does not base estimates on a maximum likelihood fit of all...

- In statistics, Whittle likelihood is an approximation to the likelihood function of a stationary Gaussian time series. It is named after the mathematician...

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