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Additive model

In statistics, an additive model (AM) is a nonparametric regression method. It was suggested by Jerome H. Friedman and Werner Stuetzle (1981) and is an essential part of the ACE algorithm. The AM uses a one-dimensional smoother to build a restricted class of nonparametric regression models. Because of this, it is less affected by the curse of…

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Overview

Description

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Additive model

Nodes19
Edges18
Triples4
Avg. degree1.89
Density0.105263
Components1

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Additive model

Top relations

see also · 3
Additive model → GAMLSS, Generalized, Median
related to Description · 1
Additive model → Given

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Important terminology

model regression smoother additive algorithm nonparametric displaystyle friedman data statistics ace overfitting multicollinearity statistical functions ij backfitting 1985 method suggested

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Additive modelrelated to DescriptionGiven0.60section
Additive modelsee alsoGeneralized0.60section
Additive modelsee alsoGAMLSS0.60section
Additive modelsee alsoMedian0.60section

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