all-possible-subsets regression

all-possible-subsets regression
French\ \ régression de tout-possible-sous-ensembles
German\ \ All-möglichteilmengen Rückbildung
Dutch\ \ regressie met alle mogelijke subsets van verklarende variabelen
Italian\ \ tutti i possibili sottoinsiemi di regressione
Spanish\ \ regresión de los todo-posible-subconjuntos
Catalan\ \ -
Portuguese\ \ regressão de todos os subconjuntos possíveis
Romanian\ \ -
Danish\ \ all-mulig-delmængder regression
Norwegian\ \ alt-mulig-undergrupper regresjon
Swedish\ \ alla möjliga-delmängder regression
Greek\ \ παλινδρόμηση όλων των δυνατώ υποδειγμάτων
Finnish\ \ kaikki mahdolliset osajoukot läpikäyvä regressio
Hungarian\ \ minden lehetséges részhalmaz regresszió
Turkish\ \ tüm mümkün alt-kümeler regresyonu (bağlanımı)
Estonian\ \ kõikvõimalike alamhulkade regressioon
Lithuanian\ \ -
Slovenian\ \ vse mogoče, dele regresijsko
Polish\ \ regresja z wyborem spośród wszystkich podzbiorów zmiennych objaśniających
Russian\ \ регрессия всех возможных подмножеств
Ukrainian\ \ -
Serbian\ \ -
Icelandic\ \ allt mögulegt-hlutar aðhvarfsgreiningu
Euskara\ \ guztiak-ahal-azpimultzoak erregresio
Farsi\ \ -
Persian-Farsi\ \ -
Arabic\ \ كل المناطق الجزئية المحتملة
Afrikaans\ \ allemoontlikedeelversamelings-regressie
Chinese\ \ 所 有 可 能 子 集 回 归 法
Korean\ \ -

Statistical terms. 2014.

Игры ⚽ Поможем написать курсовую

Look at other dictionaries:

  • 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

  • Local regression — LOESS, or locally weighted scatterplot smoothing, is one of many modern modeling methods that build on classical methods, such as linear and nonlinear least squares regression. Modern regression methods are designed to address situations in which …   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

  • Feature selection — Feature selection, also known as variable selection, feature reduction, attribute selection or variable subset selection, is the technique, commonly used in machine learning, of selecting a subset of relevant features for building robust learning …   Wikipedia

  • Resampling (statistics) — In statistics, resampling is any of a variety of methods for doing one of the following: # Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknife) or drawing randomly with… …   Wikipedia

  • Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… …   Wikipedia

  • probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… …   Universalium

  • Multicollinearity — is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated. In this situation the coefficient estimates may change erratically in response to small changes in the model or the data.… …   Wikipedia

  • Null hypothesis — For the periodical, see Null Hypothesis: The Journal of Unlikely Science. The practice of science involves formulating and testing hypotheses, assertions that are capable of being proven false using a test of observed data. The null hypothesis… …   Wikipedia

  • Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… …   Wikipedia

  • Thomism — St. Thomas Aquinas (c. 1225 1274), the eponym of Thomism. Picture by Fra Angelico (c. 1395 1455) …   Wikipedia

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”