Pregled bibliografske jedinice broj: 508437
New mixed AR(1) time series models having approximated beta marginals
New mixed AR(1) time series models having approximated beta marginals // Mathematical and computer modelling, 54 (2011), 1/2; 584-597 doi:10.1016/j.mcm.2011.03.002 (međunarodna recenzija, članak, znanstveni)
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Naslov
New mixed AR(1) time series models having approximated beta marginals
Autori
Popović, Božidar ; Poganj, Tibor
Izvornik
Mathematical and computer modelling (0895-7177) 54
(2011), 1/2;
584-597
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
beta distribution; approximated beta marginal; Kummer function of the first kind; first order autoregressive model beta distribution; approximated beta marginal; Kummer function of the first kind; first order autoregressive model
Sažetak
We consider the mixed AR(1) time series model X_t$, where $X_t$ has twoparameter beta distribution. For parameters $q≥(3π/4)^4$ or $p=5, q≥(9π/10)^5$ it is possible to calculate exact PDF which approximates beta distribution using analytical inversion of the Laplace transform. Using Laplace transform techniques and a suitable approximation procedure for the auxiliary Kummer function of the first kind, we prove that the innovation process has a mixed continuous distribution. We also consider estimation issues of the model.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
112-1121722-3314 - Informacijsko-komunikacijske tehnologije u inteligentnim pomorskim sustavima (Tomas, Vinko, MZOS ) ( CroRIS)
Ustanove:
Pomorski fakultet, Rijeka
Profili:
Tibor Poganj
(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::
- MathSciNet
- Zentrallblatt für Mathematik/Mathematical Abstracts
- Referativnij Zhurnal Matematika