predictive regression analysis
- predictive regression analysis
French\ \ analyse de régression prédictive
German\ \ vorhergesagte Regressionsanalyse
Dutch\ \ voorspellende regressie-analyse
Italian\ \ analisi di regressione predittivo
Spanish\ \ análisis predictivo de regresión
Catalan\ \ análisi de regressió predictiu
Portuguese\ \ análise de regressão preditiva
Romanian\ \ -
Danish\ \ -
Norwegian\ \ -
Swedish\ \ prediktiv regressionsanalys
Greek\ \ προβλεπτική ανάλυση παλινδρόμησης
Finnish\ \ regressioanalyysi; jossa minimoidaan ennustevirhettä
Hungarian\ \ elõrejelzési regresszióelemzés
Turkish\ \ kestirimci regresyon (bağlanım) çözümlemesi; kestirimci regresyon (bağlanım) analizi
Estonian\ \ ennustav regressioonanalüüs
Lithuanian\ \ prognozinė regresinė analizė
Slovenian\ \ -
Polish\ \ predyktywna analiza regresji
Russian\ \ прогнозируемый анализ регрессии
Ukrainian\ \ -
Serbian\ \ прдиктивна регресиона анализа
Icelandic\ \ sjálfvirkri aðfallsgreiningu
Euskara\ \ aurresateko erregresio analisi
Farsi\ \ -
Persian-Farsi\ \ -
Arabic\ \ تحليل الانحدار التنبوئي
Afrikaans\ \ voorspellende regressieanalise
Chinese\ \ 预 测 回 归 分 析
Korean\ \ 예측회귀분석
Statistical terms.
2014.
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Regression dilution — is a statistical phenomenon also known as attenuation . Consider fitting a straight line for the relationship of an outcome variable y to a predictor variable x, and estimating the gradient (slope) of the line. Statistical variability,… … Wikipedia
Regression logistique — Régression logistique Pour les articles homonymes, voir Régression. La régression logistique est une technique statistique qui a pour objectif, à partir d’un fichier d’observations, de produire un modèle permettant de prédire les valeurs prises… … Wikipédia en Français
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
Predictive modelling — is the process by which a model is created or chosen to try to best predict the probability of an outcome. In many cases the model is chosen on the basis of detection theory to try to guess the probability of a signal given a set amount of input… … 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
Optimal discriminant analysis — (ODA) and the related classification tree analysis (CTA) are statistical methods that maximize predictive accuracy. For any specific sample and exploratory or confirmatory hypothesis, optimal discriminant analysis (ODA) identifies the statistical … 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
Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… … Wikipedia
Stepwise regression — In statistics, stepwise regression includes regression models in which the choice of predictive variables is carried out by an automatic procedure. [Hocking, R. R. (1976) The Analysis and Selection of Variables in Linear Regression, Biometrics,… … Wikipedia
Quantile regression — is a type of regression analysis used in statistics. Whereas the method of least squares results in estimates that approximate the conditional mean of the response variable given certain values of the predictor variables, quantile regression… … Wikipedia
List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra … Wikipedia
