| Information | |
|---|---|
| has gloss | eng: A kernel smoother is a statistical technique for estimating a real valued function f(X)\,\,\left( X\in \mathbbR}^p} \right) by using its noisy observations, when no parametric model for this function is known. The estimated function is smooth, and the level of smoothness is set by a single parameter. |
| lexicalization | eng: kernel smoother |
| instance of | c/Non-parametric statistics |
| Media | |
|---|---|
| media:img | KernelSmoother.svg |
| media:img | Localregressionsmoother.svg |
| media:img | NNSmoother.svg |
Lexvo © 2008-2025 Gerard de Melo. Contact Legal Information / Imprint
