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The least absolute deviation linear regression: properties and two efficient methods (CROSBI ID 545890)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Kuzmanović, Ivana ; Sabo, Kristian ; Scitovski, Rudolf ; Vazler, Ivan The least absolute deviation linear regression: properties and two efficient methods // Aplimat / Kováčová Monika (ur.). 2009. str. 227-240

Podaci o odgovornosti

Kuzmanović, Ivana ; Sabo, Kristian ; Scitovski, Rudolf ; Vazler, Ivan

engleski

The least absolute deviation linear regression: properties and two efficient methods

For the given set of data, among which outliers(wild points) are expected, the problem of determining the best Least Absolute Deviations (LAD) linear regression is considered. Particulary, the problem of determinig the best weighted LAD-line and the best LAD-plane is considered and efficient algorithms for solving these problems are given. Algorithms are illustrated by several examples as well compared with other methods known in literature. The proposed methods proved to be sufficently efficient for being considered as giving a solution in real time. Therefore, they are suitable for various applications, as e.g. in robotics.

least absolute deviation line; least absolute deviation plane linear regression

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Podaci o prilogu

227-240.

2009.

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objavljeno

Podaci o matičnoj publikaciji

Aplimat

Kováčová Monika

Bratislava: Slovak University of Technology Press

1337-6365

Podaci o skupu

Nepoznat skup

predavanje

29.02.1904-29.02.2096

Povezanost rada

Matematika