dc.contributor.author | Bratčikovienė, Nomeda | |
dc.date.accessioned | 2023-09-18T18:59:53Z | |
dc.date.available | 2023-09-18T18:59:53Z | |
dc.date.issued | 2012 | |
dc.identifier.issn | 1392-5113 | |
dc.identifier.other | (BIS)VGT02-000024361 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/134348 | |
dc.description.abstract | We present adapted SETAR (self-exciting threshold autoregressive) model, which enables simultaneous estimation of nonlinearity and unobserved time series components. This model was tested on real Lithuanian harmonised consumer price index (HCPI) time series, covering the period from January 1996 to December 2009. The results show that adapted SETAR model is able to capture features of the real time series with complex nature. ARIMA model has also been used for the same time series for the comparison. Evaluated models and results of the comparison are presented in this work. | eng |
dc.format | PDF | |
dc.format.extent | p. 27-46 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | MathSciNet | |
dc.relation.isreferencedby | Index Copernicus | |
dc.relation.isreferencedby | Chemical abstracts | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Zentralblatt MATH (zbMATH) | |
dc.source.uri | https://doi.org/10.15388/NA.17.1.14076 | |
dc.title | Adapted SETAR model for Lithuanian HCPI time series | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 23 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | N 001 - Matematika / Mathematics | |
dc.subject.en | Dapted SETAR model | |
dc.subject.en | Nonlinearity | |
dc.subject.en | ARIMA model | |
dc.subject.en | HCPI | |
dcterms.sourcetitle | Nonlinear analysis : modelling and control | |
dc.description.issue | no. 1 | |
dc.description.volume | Vol. 17 | |
dc.publisher.name | Institute of Mathematics and Informatics | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 000300934800003 | |
dc.identifier.doi | 10.15388/NA.17.1.14076 | |
dc.identifier.elaba | 3976728 | |