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Segmented regression, also known as piecewise regression or broken-stick regression, is a method in regression analysis in which the independent variable...

In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination...

Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its...

linear regression; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where...

application software SegReg is a free and user-friendly tool for linear segmented regression analysis to determine the breakpoint where the relation between the...

Quasi-variance Prediction interval Regression validation Robust regression Segmented regression Signal processing Stepwise regression Taxicab geometry Linear trend...

In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample...

Ridge regression is a method of estimating the coefficients of multiple-regression models in scenarios where the independent variables are highly correlated...

aggregate behavior (for example, public opinion). The models used in segmented regression analysis are threshold models. Certain deterministic recursive multivariate...

Deming regression Scale invariance: Major axis regression Linear least squares Linear segmented regression Linear trend estimation Polynomial regression Regression...

data with random variation the tolerance level can be found with segmented regression. As the Maas-Hoffman model is fitted to the data by the method of...

adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric regression technique...

Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes...

Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional...

In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e....

"multilevel regression" and "poststratification" ideas of MRP can be generalized. Multilevel regression can be replaced by nonparametric regression or regularized...

combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic...

Bockerman et al. (2018). Note that regression kinks (or kinked regression) can also mean a type of segmented regression, which is a different type of analysis...

squares Simple linear regression Trend estimation Ridge regression Polynomial regression Segmented regression Nonlinear regression Generalized linear models...

In statistics, specifically regression analysis, a binary regression estimates a relationship between one or more explanatory variables and a single output...