Pregled bibliografske jedinice broj: 58886
The best least squares approximation problem for a 3-parametric exponential regression model
The best least squares approximation problem for a 3-parametric exponential regression model // ANZIAM journal, 42 (2000), 2; 254-266 (međunarodna recenzija, članak, znanstveni)
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Naslov
The best least squares approximation problem for a
3-parametric exponential regression model
Autori
Jukić, Dragan ; Scitovski, Rudolf
Izvornik
ANZIAM journal (1446-1811) 42
(2000), 2;
254-266
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
3-parametric exponential regression model ; least squares
Sažetak
Given the data (p_i, t_i, f_i), i=1, ..., m, we consider the existence problem for the best least squares approximation of parameters for the 3-parametric exponential regression model. This problem does not always have a solution. In this paper it is shown that this problem does have a solution, provided the data are strongly increasing at the ends.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
165021
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek,
Sveučilište u Osijeku, Odjel za matematiku
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
