weighted regression

weighted regression: French\ \ régression pondérée

German\ \ gewichtete Regression

Dutch\ \ gewogen regressie

Italian\ \ regressione ponderata

Spanish\ \ regresión ponderada

Catalan\ \ regressió ponderada

Portuguese\ \ regressão ponderada

Romanian\ \ -

Danish\ \ -

Norwegian\ \ -

Swedish\ \ vägd regression

Greek\ \ σταθμισμένη παλινδρόμηση

Finnish\ \ painotettu regressio

Hungarian\ \ -

Turkish\ \ ağırlıklı regresyon

Estonian\ \ -

Lithuanian\ \ -

Slovenian\ \ tehtana regresija

Polish\ \ -

Russian\ \ взвешенная регрессия

Ukrainian\ \ зважена регресія

Serbian\ \ -

Icelandic\ \ vegin afturför

Euskara\ \ -

Farsi\ \ -

Persian-Farsi\ \ -

Arabic\ \ الانحدار الموزون

Afrikaans\ \ geweegde regressie

Chinese\ \ -

Korean\ \ 가중회귀

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Unit-weighted regression — In statistics, unit weighted regression is perhaps the easiest form of multiple regression analysis, a method in which two or more variables are used to predict the value of an outcome. At a conceptual level, the example of weight loss can… … Wikipedia
Locally weighted regression — In machine learning, locally weighted regression is a memory based method that performs a regression around a point of interest using only training data that are local to that point … Wikipedia
Régression géographiquement pondérée — La Régression géographiquement pondérée (« Geographically Weighted Regression » ou « GWR ») est une Régression (statistiques) adaptée au domaine de l analyse spatiale et tenant compte de la dépendance géographique [1],[2].… … Wikipédia en Français
Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… … Wikipedia
Kernel-Regression — Unter Kernel Regression versteht man eine Reihe nichtparametrischer statistischer Methoden, bei denen die Abhängigkeit einer zufälligen Größe von Ausgangsdaten mittels Kerndichteschätzung geschätzt werden. Die Art der Abhängigkeit, dargestellt… … Deutsch 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
Nonlinear regression — See Michaelis Menten kinetics for details In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or… … 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
Cluster-weighted modeling — In statistics, cluster weighted modeling (CWM) is an algorithm based approach to non linear prediction of outputs (dependent variables) from inputs (independent variables) based on density estimation using a set of models (clusters) that are each … 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
Isotonic regression — In numerical analysis, isotonic regression (IR) involves finding a weighted least squares fit to a vector with weights vector subject to a set of monotonicity constraints giving a simple or partial order over the variables. The monotonicity… … Wikipedia

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weighted regression

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weighted regression

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