- Maximum Likelihood Estimates
- Mathematics: MLE
Универсальный русско-английский словарь. Академик.ру. 2011.
Maximum Likelihood Estimates
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Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… … Wikipedia
Quasi-maximum likelihood — A quasi maximum likelihood estimate (QMLE, also known as a pseudo likelihood estimate or a composite likelihood estimate ) is an estimate of a parameter θ in a statistical model that is formed by maximizing a function that is related to the… … Wikipedia
maximum likelihood — noun Date: 1922 a statistical method for estimating population parameters (as the mean and variance) from sample data that selects as estimates those parameter values maximizing the probability of obtaining the observed data … New Collegiate Dictionary
maximum likelihood — noun : a statistical method for estimating population parameters (as the mean and variance) from sample data that selects as estimates those parameter values maximizing the probability of obtaining the observed data … Useful english dictionary
Restricted maximum likelihood — In statistics, restricted (or residual) maximum likelihood (REML) is a method for fitting linear mixed models. In contrast to conventional maximum likelihood estimation, REML can produce unbiased estimates of variance and covariance parameters.… … Wikipedia
Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… … Wikipedia
Likelihood-ratio test — The likelihood ratio, often denoted by Lambda (the capital Greek letter lambda), is the ratio of the maximum probability of a result under two different hypotheses. A likelihood ratio test is a statistical test for making a decision between two… … Wikipedia
Maximum parsimony — Maximum parsimony, often simply referred to as parsimony, is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under maximum parsimony, the preferred phylogenetic tree is the tree that… … Wikipedia
Maximum parsimony (phylogenetics) — Parsimony is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under parsimony, the preferred phylogenetic tree is the tree that requires the least evolutionary change to explain some… … Wikipedia
Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… … Wikipedia
Maximum a posteriori — In statistics, the method of maximum a posteriori (MAP, or posterior mode) estimation can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to Fisher s method of maximum likelihood… … Wikipedia
