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Pregled bibliografske jedinice broj: 224818

Localization of the least squares estimate for two parameter regression models


Jukić, Dragan; Scitovski, Rudolf; Baumgartner, Alfonzo; 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: Odjel za matematiku Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2005. str. 165-174. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 224818 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, Alfonzo ; Sabo, Kristian

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 10th International Conference on Operational Research KOI 2004 / Scitovski, Rudolf ; Jukić, Dragan - Osijek : Odjel za matematiku Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2005, 165-174.

Skup
10th International Conference on Operational Research KOI 2004

Mjesto i datum
Trogir, Hrvatska, 22.09.2005. - 24.09.2005

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 the 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 initial approximation of the parameters. Numerical examples are provided illustrating the effectivness of the author's method. The extension to higher dimensional models is possible.

Izvorni jezik
Engleski

Znanstvena područja
Matematika



POVEZANOST RADA


Projekti:
0235001

Ustanove:
Sveučilište u Osijeku, Odjel za matematiku

Profili:

Avatar Url Kristian Sabo (autor)


Citiraj ovu publikaciju:

Jukić, Dragan; Scitovski, Rudolf; Baumgartner, Alfonzo; 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: Odjel za matematiku Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2005. str. 165-174. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jukić, D., Scitovski, R., Baumgartner, A. & Sabo, K. (2005) Localization of the least squares estimate for two parameter regression models. U: Scitovski, R. & Jukić, D. (ur.)Proceedings of the 10th International Conference on Operational Research KOI 2004.
@article{article, author = {Juki\'{c}, Dragan and Scitovski, Rudolf and Baumgartner, Alfonzo and Sabo, Kristian}, year = {2005}, pages = {165-174.}, keywords = {nonlinear least squares, two parameter regression model, least squares estimate, initial approximation}, title = {Localization of the least squares estimate for two parameter regression models}, keyword = {nonlinear least squares, two parameter regression model, least squares estimate, initial approximation}, publisher = {Odjel za matematiku Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Trogir, Hrvatska} }
@article{article, author = {Juki\'{c}, Dragan and Scitovski, Rudolf and Baumgartner, Alfonzo and Sabo, Kristian}, year = {2005}, pages = {165-174.}, keywords = {nonlinear least squares, two parameter regression model, least squares estimate, initial approximation}, title = {Localization of the least squares estimate for two parameter regression models}, keyword = {nonlinear least squares, two parameter regression model, least squares estimate, initial approximation}, publisher = {Odjel za matematiku Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Trogir, Hrvatska} }




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