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Additive models and kernel smoothing

In: Tatra Mountains Mathematical Publications, vol. 17, no. 3
Jiří Zelinka
Detaily:
Rok, strany: 1999, 241 - 250
O článku:
Nonparametric regression methods are often used to estimate an unknown function $(x1,…, xp)$ in a regression model

$$ Y=m(X1,…, Xp)+ε $$

for random variables $X1,…, Xp, Y$ and error $ε$. An additive model may be used for the function $m$ in the special form

$$ m(x1,…, xp)=m1(x1)+… mp(xp) . $$

The application of kernel smoothing to additive models is demonstrated in this contribution together with some practical results.
Ako citovať:
ISO 690:
Zelinka, J. 1999. Additive models and kernel smoothing. In Tatra Mountains Mathematical Publications, vol. 17, no.3, pp. 241-250. 1210-3195.

APA:
Zelinka, J. (1999). Additive models and kernel smoothing. Tatra Mountains Mathematical Publications, 17(3), 241-250. 1210-3195.