Pregled bibliografske jedinice broj: 299426
Localization of the least squares estimate for two-parameter regression models
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 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
CROSBI ID: 299426 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Localization of the least squares estimate for two-parameter regression models
Autori
Jukić, Dragan ; Scitovski, Rudolf ; Baumgartner, Alfonso ; Sabo, Kristian
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo
Izvornik
Proceedings of the 10th International Conference on Operational Research-KOI 2004
/ Scitovski, Rudolf ; Jukić, Dragan - Osijek : Hrvatsko društvo za operacijska istraživanja (CRORS), 2005, 165-174
Skup
Conference on Operational Research-KOI2004
Mjesto i datum
Trogir, Hrvatska, 22.09.2004. - 24.09.2004
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
nonlinear least squares; two-parameter regression model; least squares estimate; initial approximation
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Ustanove:
Sveučilište u Osijeku, Odjel za matematiku
