# regression estimator

regression estimator
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English-russian biological dictionary. 2013.

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• Regression lineaire multiple — Régression linéaire multiple Pour les articles homonymes, voir Régression. Sommaire 1 Modèle théorique 1.1 Exemple 1.2 E …   Wikipédia en Français

• Régression multilinéaire — Régression linéaire multiple Pour les articles homonymes, voir Régression. Sommaire 1 Modèle théorique 1.1 Exemple 1.2 E …   Wikipédia en Français

• Regression toward the mean — In statistics, regression toward the mean (also known as regression to the mean) is the phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on a second measurement, and a fact that may… …   Wikipedia

• Regression discontinuity design — In statistics, econometrics, epidemiology and related disciplines, a regression discontinuity design (RDD) is a design that elicits the causal effects of interventions by exploiting a given exogenous threshold determining assignment to treatment …   Wikipedia

• 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

• Régression linéaire multiple — Pour les articles homonymes, voir Régression. La régression linéaire multiple est une analyse statistique qui décrit les variations d une variable endogène associée aux variations de plusieurs variables exogènes. Par exemple, une analyse de… …   Wikipédia en Français

• 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

• Least-squares estimation of linear regression coefficients — In parametric statistics, the least squares estimator is often used to estimate the coefficients of a linear regression. The least squares estimator optimizes a certain criterion (namely it minimizes the sum of the square of the residuals). In… …   Wikipedia

• Kaplan–Meier estimator — The Kaplan–Meier estimator,[1][2] also known as the product limit estimator, is an estimator for estimating the survival function from life time data. In medical research, it is often used to measure the fraction of patients living for a certain… …   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

• Kernel regression — Not to be confused with Kernel principal component analysis. The kernel regression is a non parametric technique in statistics to estimate the conditional expectation of a random variable. The objective is to find a non linear relation between a… …   Wikipedia

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