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

Savitzky–Golay filter Kernel methods Kernel density estimation Local regression Kernel regression Li, Q. and J.S. Racine. Nonparametric Econometrics: Theory...

Nonparametric regression is a form of regression analysis where the predictor does not take a predetermined form but is completely constructed using information...

called regressors, predictors, covariates, explanatory variables or features). The most common form of regression analysis is linear regression, in which...

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...

In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable...

Opinion polling for the 2025 Argentine legislative election using Local regression (LOESS) of polls conducted. Kirchnerism and Federal Peronism entries...

perform kernel regression. Stata: npregress, kernreg2 Kernel smoother Local regression Nadaraya, E. A. (1964). "On Estimating Regression". Theory of Probability...

number of seats is calculated as a percentage of the 120 total seats. Local regression of polls conducted List of next general elections The Democrats' members...

regression; a model with two or more explanatory variables is a multiple linear regression. This term is distinct from multivariate linear regression...

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

Opinion polling for the 2029 German federal election using Local regression (LOESS) of polls conducted....

A local regression graph of all polls conducted....

alphabetical order by name of institute. Local regression of polls conducted since the 2022 legislative election Local regression of polls conducted since the election...

Primary vote opinion polling for the New South Wales 2027 election with a local regression (LOESS) trendline for each party. [Graph to be reviewed]...

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

William S., and Susan J. Devlin. "Locally weighted regression: an approach to regression analysis by local fitting." Journal of the American Statistical Association...

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...

can include unit tests to catch local regressions as well as integration tests to catch remote regressions. Regression testing techniques often leverage...

Local regression trend line of poll results from 23 July 2023 to the present day, with each line corresponding to a political party....

Overall Polling with a local regression (LOESS) trend line for each party and a monthly average....

Local regression chart of poll results from 17 December 2023 to the present day...

Local regression of the voter intention polling for the next Austrian legislative election....

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

Local regression trend line of poll results from 28 May 2023 to the present day, with each line corresponding to a political party....

Local regression trend line of poll results from 28 May 2023 to the present day, with each line corresponding to a political party....

the Free Voters (FW), a name originally used by unaffiliated groups in local elections, which as a party are present in three state parliaments (Bavaria...

Ridge regression (also known as Tikhonov regularization, named for Andrey Tikhonov) is a method of estimating the coefficients of multiple-regression models...

Local regression trend line of poll results from 25 September 2022 to the election day, with each line corresponding to the next general election party...