Interminable Long Memory Model And Its Hybrid For Time Series Modeling

The financial and economic indices are nonstationary, long-range dependence and volatile. These are very serious problems because each affect the accuracy, validity and reliability of model fitting and the forecasting of the studied series. In view of this, our current study proposes fractional filt...

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Main Author: Alhaji, Jibrin Sanusi
Format: Thesis
Language:en
Published: 2019
Subjects:
Online Access:http://eprints.usm.my/49314/1/JIBRIN%20SANUSI%20ALHAJI%20cut.pdf
http://eprints.usm.my/49314/
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author Alhaji, Jibrin Sanusi
author_facet Alhaji, Jibrin Sanusi
author_sort Alhaji, Jibrin Sanusi
building Hamzah Sendut Library
collection Institutional Repository
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
continent Asia
country Malaysia
description The financial and economic indices are nonstationary, long-range dependence and volatile. These are very serious problems because each affect the accuracy, validity and reliability of model fitting and the forecasting of the studied series. In view of this, our current study proposes fractional filter to decompose the nonstationary and Interminable Long Memory (ILM) time series with fractional differencing value in the interval of 1<
format Thesis
id my.usm.eprints.49314
institution Universiti Sains Malaysia
language en
publishDate 2019
record_format eprints
spelling my.usm.eprints.49314 http://eprints.usm.my/49314/ Interminable Long Memory Model And Its Hybrid For Time Series Modeling Alhaji, Jibrin Sanusi QA1 Mathematics (General) The financial and economic indices are nonstationary, long-range dependence and volatile. These are very serious problems because each affect the accuracy, validity and reliability of model fitting and the forecasting of the studied series. In view of this, our current study proposes fractional filter to decompose the nonstationary and Interminable Long Memory (ILM) time series with fractional differencing value in the interval of 1< 2019-08 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/49314/1/JIBRIN%20SANUSI%20ALHAJI%20cut.pdf Alhaji, Jibrin Sanusi (2019) Interminable Long Memory Model And Its Hybrid For Time Series Modeling. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA1 Mathematics (General)
Alhaji, Jibrin Sanusi
Interminable Long Memory Model And Its Hybrid For Time Series Modeling
title Interminable Long Memory Model And Its Hybrid For Time Series Modeling
title_full Interminable Long Memory Model And Its Hybrid For Time Series Modeling
title_fullStr Interminable Long Memory Model And Its Hybrid For Time Series Modeling
title_full_unstemmed Interminable Long Memory Model And Its Hybrid For Time Series Modeling
title_short Interminable Long Memory Model And Its Hybrid For Time Series Modeling
title_sort interminable long memory model and its hybrid for time series modeling
topic QA1 Mathematics (General)
url http://eprints.usm.my/49314/1/JIBRIN%20SANUSI%20ALHAJI%20cut.pdf
http://eprints.usm.my/49314/
url_provider http://eprints.usm.my/