Linear Regression

Novi Quadrianto; Wray Buntine

doi:10.1007/978-0-387-30164-8_476

Linear Regression

Novi Quadrianto, Wray Buntine

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › peer-review

Abstract

Linear Regression is an instance of the Regression problem which is an approach to modelling a functional relationship between input variables x and an output/response variable y. In linear regression, a linear function of the input variables is used, and more generally a linear function of some vector function of the input variables Ï•(x) can also be used. The linear function estimates the mean of y (or more generally the median or a quantile).

Original language	English
Title of host publication	Encyclopedia of Machine Learning
Editors	Claude Sammut & Geoffrey I.Webb
Place of Publication	New York
Publisher	Springer
Pages	603-606pp
Volume	6
ISBN (Print)	9780387307688
DOIs	https://doi.org/10.1007/978-0-387-30164-8_476
Publication status	Published - 2010

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10.1007/978-0-387-30164-8_476

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@inbook{67309eefc7a9491295ccb2ac9ec31020,

title = "Linear Regression",

abstract = "Linear Regression is an instance of the Regression problem which is an approach to modelling a functional relationship between input variables x and an output/response variable y. In linear regression, a linear function of the input variables is used, and more generally a linear function of some vector function of the input variables {\"I}•(x) can also be used. The linear function estimates the mean of y (or more generally the median or a quantile).",

author = "Novi Quadrianto and Wray Buntine",

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AU - Buntine, Wray

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N2 - Linear Regression is an instance of the Regression problem which is an approach to modelling a functional relationship between input variables x and an output/response variable y. In linear regression, a linear function of the input variables is used, and more generally a linear function of some vector function of the input variables Ï•(x) can also be used. The linear function estimates the mean of y (or more generally the median or a quantile).

AB - Linear Regression is an instance of the Regression problem which is an approach to modelling a functional relationship between input variables x and an output/response variable y. In linear regression, a linear function of the input variables is used, and more generally a linear function of some vector function of the input variables Ï•(x) can also be used. The linear function estimates the mean of y (or more generally the median or a quantile).

U2 - 10.1007/978-0-387-30164-8_476

DO - 10.1007/978-0-387-30164-8_476

M3 - Entry for encyclopedia/dictionary

SN - 9780387307688

VL - 6

SP - 603

EP - 606

BT - Encyclopedia of Machine Learning

A2 - null, Claude Sammut & Geoffrey I.Webb

PB - Springer

CY - New York

ER -

Linear Regression

Abstract

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