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Localization of the least squares estimate for two-parameter regression models (CROSBI ID 528253)

Prilog sa skupa u zborniku | ostalo | međunarodna recenzija

Jukić, Dragan ; Scitovski, Rudolf ; Baumgartner, Alfonso ; Sabo, Kristian Localization of the least squares estimate for two-parameter regression models // Proceedings of the 10th International Conference on Operational Research-KOI 2004 / Scitovski, Rudolf ; Jukić, Dragan (ur.). Osijek: Hrvatsko društvo za operacijska istraživanja (CRORS), 2005. str. 165-174-x

Podaci o odgovornosti

Jukić, Dragan ; Scitovski, Rudolf ; Baumgartner, Alfonso ; Sabo, Kristian

engleski

Localization of the least squares estimate for two-parameter regression models

Numerical methods for minimizing the sum of squares require an initial approximation which is as good as possible. Using concept of the level set we develop a new method for localization of the least squares estimate for two-parameter regression models. Using this method, we suggest a choice of the suitable inital approximation of the parameters. Numerical examples are provided illustrating the effectiveness of the author's method. The extension to higher dimensional models is possible.

nonlinear least squares; two-parameter regression model; least squares estimate; initial approximation

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Podaci o prilogu

165-174-x.

2005.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 10th International Conference on Operational Research-KOI 2004

Scitovski, Rudolf ; Jukić, Dragan

Osijek: Hrvatsko društvo za operacijska istraživanja (CRORS)

Podaci o skupu

Nepoznat skup

predavanje

29.02.1904-29.02.2096

Povezanost rada

Matematika