non-parametric delta method
- non-parametric delta method
French\ \ méthode delta non-paramétrique
German\ \ nichtparametrische Delta-Methode
Dutch\ \ niet-parametrische delta methode
Italian\ \ metodo delta non parametrico
Spanish\ \ método no paramétrico del delta
Catalan\ \ mètode delta no paramètric
Portuguese\ \ método delta não-paramétrico
Romanian\ \ -
Danish\ \ ikke-parametrisk deltametode
Norwegian\ \ ikke-parametrisk delta metode
Swedish\ \ icke-parametrisk deltametod
Greek\ \ μη παραμετρική μέθοδος δέλτα
Finnish\ \ varianssiapproksimaatio von Misesin sarjakehitelmän avulla
Hungarian\ \ -
Turkish\ \ parametresiz delta metodu
Estonian\ \ -
Lithuanian\ \ -
Slovenian\ \ neparametrična delta-metoda
Polish\ \ -
Russian\ \ непараметрический дельта-метод
Ukrainian\ \ -
Serbian\ \ непараметарски делта метод
Icelandic\ \ ekki parametric delta aðferð
Euskara\ \ ez-parametrikoa delta metodoaren
Farsi\ \ -
Persian-Farsi\ \ -
Arabic\ \ طريقة دلتا اللامعلمية
Afrikaans\ \ nieparametriese deltametode
Chinese\ \ -
Korean\ \ 비모수적 델타 방법
Statistical terms.
2014.
Look at other dictionaries:
Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… … Wikipedia
Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… … 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
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Effect size — In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample based estimate of that quantity. An effect size calculated from data is a descriptive statistic that… … Wikipedia
Multivariate adaptive regression splines — (MARS) is a form of regression analysis introduced by Jerome Friedman in 1991.[1] It is a non parametric regression technique and can be seen as an extension of linear models that automatically models non linearities and interactions. The term… … Wikipedia
Dirichlet process — In probability theory, a Dirichlet process is a stochastic process that can be thought of as a probability distribution whose domain is itself a random distribution. That is, given a Dirichlet process , where H (the base distribution) is an… … Wikipedia
Significance analysis of microarrays — (SAM) is a statistical technique, established in 2001 by Tusher, Tibshirani and Chu, for determining whether changes in gene expression are statistically significant. With the advent of DNA microarrays it is now possible to measure the expression … Wikipedia
Volterra series — The Volterra series and Volterra theorem was developed in 1887 by Vito Volterra. It is a model for non linear behavior, similar to the Taylor series. It differs from the Taylor series in its ability to capture memory effects. The Taylor series… … Wikipedia
Order statistic — Probability distributions for the n = 5 order statistics of an exponential distribution with θ = 3 In statistics, the kth order statistic of a statistical sample is equal to its kth smallest value. Together with rank statistics, order statistics… … Wikipedia
Multidimensional scaling — (MDS) is a set of related statistical techniques often used in information visualization for exploring similarities or dissimilarities in data. MDS is a special case of ordination. An MDS algorithm starts with a matrix of item–item similarities,… … Wikipedia
