Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to...
7 KB (670 words) - 14:52, 4 February 2024
models (e.g., nonparametric regression). Regression analysis is primarily used for two conceptually distinct purposes. First, regression analysis is widely...
36 KB (5,124 words) - 09:00, 19 September 2024
In statistics, semiparametric regression includes regression models that combine parametric and nonparametric models. They are often used in situations...
7 KB (1,170 words) - 02:39, 7 May 2022
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}...
9 KB (1,261 words) - 07:54, 4 June 2024
method to estimate a probability distribution. Nonparametric regression and semiparametric regression methods have been developed based on kernels, splines...
13 KB (1,694 words) - 09:12, 18 August 2024
Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its...
18 KB (2,525 words) - 11:34, 27 September 2024
Linear regression Simple linear regression Logistic regression Nonlinear regression Nonparametric regression Robust regression Stepwise regression Regression...
2 KB (235 words) - 14:22, 18 October 2023
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...
16 KB (1,911 words) - 06:21, 20 June 2024
In statistics and numerical analysis, isotonic regression or monotonic regression is the technique of fitting a free-form line to a sequence of observations...
10 KB (1,426 words) - 17:12, 28 September 2024
Linear equation Logistic regression M-estimator Multivariate adaptive regression spline Nonlinear regression Nonparametric regression Normal equations Projection...
73 KB (10,315 words) - 05:32, 30 September 2024