Look up regression, regressions, or régression in Wiktionary, the free dictionary. Regression or regressions may refer to: Marine regression, coastal advance...
(e.g., nonparametric regression). Regression analysis is primarily used for two conceptually distinct purposes. First, regression analysis is widely used...
linear regression; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where...
combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic...
In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable...
Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes...
Ridge regression is a method of estimating the coefficients of multiple-regression models in scenarios where the independent variables are highly correlated...
Regression testing (rarely, non-regression testing) is re-running functional and non-functional tests to ensure that previously developed and tested software...
Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional...
Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its...
case, the "regression" effect is statistically likely to occur, but in the second case, it may occur less strongly or not at all. Regression toward the...
In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination...
especially in the case of a simple linear regression, in which there is a single regressor on the right side of the regression equation. The OLS estimator is consistent...
In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic...
In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e....
Infinite regress, a problem in epistemology Regression (disambiguation) This disambiguation page lists articles associated with the title Regress. If an...
Past life regression (PLR), Past life therapy (PLT), regression or memory regression is a method that uses hypnosis to recover what practitioners believe...
Beta regression is a form of regression which is used when the response variable, y{\displaystyle y}, takes values within (0,1){\displaystyle (0,1)} and...
In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample...
In robust statistics, robust regression seeks to overcome some limitations of traditional regression analysis. A regression analysis models the relationship...
In statistics, binomial regression is a regression analysis technique in which the response (often referred to as Y) has a binomial distribution: it is...
In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than...
In statistics and numerical analysis, isotonic regression or monotonic regression is the technique of fitting a free-form line to a sequence of observations...
Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to...
Caudal regression syndrome, or sacral agenesis (or hypoplasia of the sacrum), is a rare birth defect. It is a congenital disorder in which the fetal development...
An infinite regress is an infinite series of entities governed by a recursive principle that determines how each entity in the series depends on or is...
distinction is most important in regression analysis, where the concepts are sometimes called the regression errors and regression residuals and where they lead...
Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of finding...
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