- nonparametric maximum likelihood
- Медицина: непараметрический метод максимального правдоподобия (метод популяционного моделирования в клинических исследованиях)
Универсальный англо-русский словарь. Академик.ру. 2011.
nonparametric maximum likelihood
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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
Nonparametric regression — is a form of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. Nonparametric regression requires larger sample sizes than regression based on… … 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
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
Kaplan–Meier estimator — The Kaplan–Meier estimator,[1][2] also known as the product limit estimator, is an estimator for estimating the survival function from life time data. In medical research, it is often used to measure the fraction of patients living for a certain… … Wikipedia
Sieve estimator — In statistics, sieve estimators are a class of nonparametric estimator which use progressively more complex models to estimate an unknown high dimensional function as more data becomes available, with the aim of asymptotically reducing error… … Wikipedia
Kaplan-Meier estimator — The Kaplan Meier estimator (also known as the product limit estimator) estimates the survival function from life time data. In medical research, it might be used to measure the fraction of patients living for a certain amount of time after… … Wikipedia
Dominance-based Rough Set Approach — (DRSA) is an extension of rough set theory for Multi Criteria Decision Analysis (MCDA), introduced by Greco, Matarazzo and Słowiński Greco, S., Matarazzo, B., Słowiński, R.: Rough sets theory for multicriteria decision analysis. European Journal… … Wikipedia
Dominance-based rough set approach — (DRSA) is an extension of rough set theory for multi criteria decision analysis (MCDA), introduced by Greco, Matarazzo and Słowiński. [1][2][3] The main change comparing to the classical rough sets is the substitution of the indiscernibility… … Wikipedia
Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia
Bootstrapping (statistics) — In statistics, bootstrapping is a modern, computer intensive, general purpose approach to statistical inference, falling within a broader class of resampling methods.Bootstrapping is the practice of estimating properties of an estimator (such as… … Wikipedia
