Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to...

models (e.g., nonparametric regression). Regression analysis is primarily used for two conceptually distinct purposes. First, regression analysis is widely...

non-linear relation between a pair of random variables X and Y. In any nonparametric regression, the conditional expectation of a variable Y{\displaystyle Y} relative...

In statistics, semiparametric regression includes regression models that combine parametric and nonparametric models. They are often used in situations...

method to estimate a probability distribution. Nonparametric regression and semiparametric regression methods have been developed based on kernels, splines...

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

In statistics and numerical analysis, isotonic regression or monotonic regression is the technique of fitting a free-form line to a sequence of observations...

Linear regression Simple linear regression Logistic regression Nonlinear regression Nonparametric regression Robust regression Stepwise regression Regression...

data (e.g. using ordinary least squares). Nonparametric regression refers to techniques that allow the regression function to lie in a specified set of functions...

Linear equation Logistic regression M-estimator Multivariate adaptive regression spline Nonlinear regression Nonparametric regression Normal equations Projection...