likelihood

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Related to Likelihood function: Maximum likelihood estimation

likelihood

[′līk·lē‚hu̇d]
(mathematics)
The likelihood of a sample of independent values of x1, x2, … , xn , with ƒ(x) the probability function, is the product ƒ(x1) - ƒ(x2) - ⋯ - ƒ(xn ).
References in periodicals archive ?
The likelihood function for the whole population is the product of all the individual likelihood functions.
Thus, the product of a pair of linked hypergeometric probability mass functions, each corresponding to a 2-way contingency table, is the natural form of the likelihood function for [P.
Therefore, the unconditional likelihood function [L.
Surprisingly, the correlation coefficient [rho] between the survey participation and program participation decisions was not statistically significant, which suggests that for each program the likelihood function (4) can be separated out into two independent probit models and that attention can be restricted to the determinants of participation in the program without having to correct for participation in the survey.
3) Renormalization is done by dividing the likelihood function by its maximum value, so that the new maximum is 1.
Like the one-hit model, the logistic uses a product-binomial likelihood function (Eq.
The estimate of [rho] that maximizes the likelihood function is 0.
We correct for choice-based sampling by extending the Manski and Lerman (1977) correction to the likelihood function defined with semiparametric unmeasured heterogeneity (Butler, Anderson, and Burkhauser 1989).
The second approach is to maximize a likelihood function that combines the probability that a household is in a particular block of the rate structure with a density function for water use, conditional on being in that block.
Statistically, this is done by maximizing a likelihood function consisting of two parts, viz.
i3]) are both observed, and the likelihood function is the bivariate t probability density: