polynomial regression
1regression — /ri gresh euhn/, n. 1. the act of going back to a previous place or state; return or reversion. 2. retrogradation; retrogression. 3. Biol. reversion to an earlier or less advanced state or form or to a common or general type. 4. Psychoanal. the… …
2Local 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 …
3Linear 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… …
4Robust 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… …
5Nonlinear 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… …
6Outline of regression analysis — In statistics, regression analysis includes any technique for learning about the relationship between one or more dependent variables Y and one or more independent variables X. The following outline is an overview and guide to the variety of… …
7Modèle de régression multiple postulés et non postulés — Modèles de régression multiple postulés et non postulés Sommaire 1 Modèle 2 Régression multiple 3 Modèle postulé 4 Le problème de la sélection des variables explicatives …
8Modèles de régression multiple postulés et non postulés — Sommaire 1 Modèle 2 Régression multiple 3 Modèle postulé 4 Le problème de la sélection des variables explicatives …
9Kernel-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… …
10Multivariate 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… …
