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Conference Paper: Recursive estimation and forecasting of non-stationary time series
Title | Recursive estimation and forecasting of non-stationary time series |
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Authors | |
Issue Date | 1986 |
Citation | Institution of Electrical Engineers. Colloquium, 1986 v. 1986 n. 119, p. 1-4 How to Cite? |
Abstract | This paper considers a unified approval to the problem of forecasting time series on the basis of linear stochastic dynamic models for the historical time series data. This approach is an alternative to that presented by G. E. P. Box and G. M. Jenkins (1970). The authors' approach utilises similar time series models to those employed by G. E. P. Box and G. M. Jenkins, but sets these models within a recursive parameter and state estimation framework for the purposes of forecasting. |
Persistent Identifier | http://hdl.handle.net/10722/159097 |
ISSN | 2019 SCImago Journal Rankings: 0.100 |
DC Field | Value | Language |
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dc.contributor.author | Young, Peter | en_US |
dc.contributor.author | Ng, Cho | en_US |
dc.date.accessioned | 2012-08-08T09:08:00Z | - |
dc.date.available | 2012-08-08T09:08:00Z | - |
dc.date.issued | 1986 | en_US |
dc.identifier.citation | Institution of Electrical Engineers. Colloquium, 1986 v. 1986 n. 119, p. 1-4 | en_US |
dc.identifier.issn | 0963-3308 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/159097 | - |
dc.description.abstract | This paper considers a unified approval to the problem of forecasting time series on the basis of linear stochastic dynamic models for the historical time series data. This approach is an alternative to that presented by G. E. P. Box and G. M. Jenkins (1970). The authors' approach utilises similar time series models to those employed by G. E. P. Box and G. M. Jenkins, but sets these models within a recursive parameter and state estimation framework for the purposes of forecasting. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Institution of Electrical Engineers Colloquium | en_US |
dc.title | Recursive estimation and forecasting of non-stationary time series | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Ng, Cho:cnng@hkucc.hku.hk | en_US |
dc.identifier.authority | Ng, Cho=rp00606 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0022933856 | en_US |
dc.identifier.volume | 1986 | - |
dc.identifier.issue | 119 | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 4 | en_US |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Young, Peter=7402038199 | en_US |
dc.identifier.scopusauthorid | Ng, Cho=7401705590 | en_US |
dc.customcontrol.immutable | sml 160215 - amend | - |
dc.identifier.issnl | 0963-3308 | - |