- non-parametric estimate
- непараметрическая оценка
English-Russian electronics dictionary .
English-Russian electronics dictionary .
Non-parametric statistics — In statistics, the term non parametric statistics has at least two different meanings: The first meaning of non parametric covers techniques that do not rely on data belonging to any particular distribution. These include, among others:… … Wikipedia
Parametric determinism — refers to a Marxist interpretation of the course of history formulated by Prof. Ernest Mandel, and it could be viewed as one variant of Marx s historical materialism or as a philosophy of history. In an article critical of the Analytical Marxism… … Wikipedia
Empirical Bayes method — In statistics, empirical Bayes methods are a class of methods which use empirical data to evaluate / approximate the conditional probability distributions that arise from Bayes theorem. These methods allow one to estimate quantities… … Wikipedia
Survival analysis — is a branch of statistics which deals with death in biological organisms and failure in mechanical systems. This topic is called reliability theory or reliability analysis in engineering, and duration analysis or duration modeling in economics or … Wikipedia
Errors-in-variables models — In statistics and econometrics, errors in variables models or measurement errors models are regression models that account for measurement errors in the independent variables. In contrast, standard regression models assume that those regressors… … Wikipedia
Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… … Wikipedia
Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… … 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
Mann–Whitney U — In statistics, the Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW) or Wilcoxon rank sum test) is a non parametric statistical hypothesis test for assessing whether one of two samples of independent observations tends to have… … Wikipedia
Mann-Whitney U — In statistics, the Mann Whitney U test (also called the Mann Whitney Wilcoxon (MWW), Wilcoxon rank sum test, or Wilcoxon Mann Whitney test) is a non parametric test for assessing whether two samples of observations come from the same distribution … Wikipedia