Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression...
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Kernel smoother (section Local regression)
Savitzky–Golay filter Kernel methods Kernel density estimation Local regression Kernel regression Li, Q. and J.S. Racine. Nonparametric Econometrics: Theory...
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Nonparametric regression is a form of regression analysis where the predictor does not take a predetermined form but is completely constructed using information...
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called regressors, predictors, covariates, explanatory variables or features). The most common form of regression analysis is linear regression, in which...
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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...
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In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination...
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In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable...
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perform kernel regression. Stata: npregress, kernreg2 Kernel smoother Local regression Nadaraya, E. A. (1964). "On Estimating Regression". Theory of Probability...
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Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional...
30 KB (4,254 words) - 19:10, 8 July 2025
combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) estimates the parameters of a logistic model...
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regression; a model with two or more explanatory variables is a multiple linear regression. This term is distinct from multivariate linear regression...
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adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric regression technique...
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Opinion polling for the 2029 German federal election using Local regression (LOESS) of polls conducted....
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alphabetical order by name of institute. Local regression of polls conducted since the 2022 legislative election Local regression of polls conducted since the election...
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William S., and Susan J. Devlin. "Locally weighted regression: an approach to regression analysis by local fitting." Journal of the American Statistical Association...
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Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes...
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A local regression graph of all polls conducted....
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Primary vote opinion polling for the New South Wales 2027 election with a local regression (LOESS) trendline for each party. [Graph to be reviewed]...
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In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e....
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Local regression of the voter intention polling for the next Austrian legislative election....
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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...
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Ordinary least squares (redirect from Ordinary least squares regression)
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...
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can include unit tests to catch local regressions as well as integration tests to catch remote regressions. Regression testing techniques often leverage...
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national security) to his name. Local regression of polls conducted since the 2022 legislative election Local regression of polls conducted since the election...
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Ridge regression (also known as Tikhonov regularization, named for Andrey Tikhonov) is a method of estimating the coefficients of multiple-regression models...
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Local regression trend line of poll results from 23 July 2023 to the present day, with each line corresponding to a political party....
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Overall Polling with a local regression (LOESS) trend line for each party and a monthly average....
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Local regression trend line of poll results from 28 May 2023 to the present day, with each line corresponding to a political party....
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Opinion polling for the 2025 Argentine legislative election using Local regression (LOESS) of polls conducted. Kirchnerism and Federal Peronism entries...
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Overall Polling with a local regression (LOESS) trend line for each party and a monthly average....
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