оценка степени вероятности
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[Л.Г.Суменко. Англо-русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.]
Англо-русский словарь нормативно-технической терминологии. academic.ru. 2015.
Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of … Wikipedia
Estimation of covariance matrices — In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices then deals with the question of how to approximate the actual covariance matrix on the basis… … Wikipedia
Estimation theory — is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data. The parameters describe an underlying physical setting in such a way that the value of the parameters affects… … Wikipedia
maximum likelihood estimation — Statistics. a method of estimating population characteristics from a sample by choosing the values of the parameters that will maximize the probability of getting the particular sample actually obtained from the population. * * * … Universalium
maximum likelihood estimation — Statistics. a method of estimating population characteristics from a sample by choosing the values of the parameters that will maximize the probability of getting the particular sample actually obtained from the population … Useful english dictionary
Likelihood ratio — Cet article peut être partiellement redondant avec Fonction de vraisemblance. Le likelihood ratio est le rapport entre la proportion de personnes souffrant d une maladie qui obtiennent lors un test de dépistage un résultat déterminé (p.e. positif … Wikipédia en Français
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
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
Rasch model estimation — Various techniques are employed in order to estimate parameters of the Rasch model from matrices of response data. The most common approaches are methods of maximum likelihood estimation, such as joint and conditional maximum likelihood… … Wikipedia
Minimum distance estimation — (MDE) is a statistical method for fitting a mathematical model to data, usually the empirical distribution. Contents 1 Definition 2 Statistics used in estimation 2.1 Chi square criterion … Wikipedia
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
