Pregled bibliografske jedinice broj: 620422
On nonlinear weighted least squares estimation of Bass diffusion model
On nonlinear weighted least squares estimation of Bass diffusion model // Applied mathematics and computation, 219 (2013), 14; 7891-7900 doi:10.1016/j.amc.2013.02.018 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 620422 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On nonlinear weighted least squares estimation of Bass diffusion model
Autori
Jukić, Dragan
Izvornik
Applied mathematics and computation (0096-3003) 219
(2013), 14;
7891-7900
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Bass model; least squares; existence problem
Sažetak
The Bass model is one of the most well-known and widely used models of first-purchase demand. Estimation of its parameters has been approached in the literature by various techniques. The focus of this paper is on a nonlinear weighted least squares fitting approach. As a main result, two theorems on the existence of the least squares estimate are obtained. One of them gives necessary and sufficient conditions which guarantee the existence of the least squares estimate. Some numerical experiments are given to illustrate the efficiency of our approach.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Ekonomija
POVEZANOST RADA
Projekti:
235-2352818-1034 - Nelinearni problemi procjene parametara u matematičkim modelima (Jukić, Dragan, MZOS ) ( CroRIS)
235-2352818-1039 - Statistički aspekti problema procjene u nelinearnim parametarskim modelima (Benšić, Mirta, MZOS ) ( CroRIS)
Ustanove:
Sveučilište u Osijeku, Odjel za matematiku
Profili:
Dragan Jukić
(autor)
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
Uključenost u ostale bibliografske baze podataka::
- BIOSIS Previews (Biological Abstracts)
- INSPEC
- Applied Mechanics Reviews
- Cambridge Scientific Abstracts
- Computing Reviews
- Mathematical Reviews
- SCISEARCH
- Scopus
- Zentralblatt MATH