Analysis of time series by re-sampling

The Box-Jenkins methodology is very often used in financier when the time series are analyzed. The estimations of the parameters of the selected models are one of the first tasks of the analysis. The important problem that emerges in connection with the parameters estimation is the problem of their...

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Main Authors: Mohamed, B. I., Elfaki, Faiz Ahmed Mohamed, Daoud, Jamal Ibrahim, Azram, Mohammad
Format: Conference or Workshop Item
Language:English
Published: Kulliyyah of Engineering, IIUM 2012
Subjects:
Online Access:http://irep.iium.edu.my/24644/
http://irep.iium.edu.my/24644/
http://irep.iium.edu.my/24644/4/24644_Analysis%20of%20time%20Series%20by%20re-sampling.pdf
id iium-24644
recordtype eprints
spelling iium-246442018-02-02T01:39:35Z http://irep.iium.edu.my/24644/ Analysis of time series by re-sampling Mohamed, B. I. Elfaki, Faiz Ahmed Mohamed Daoud, Jamal Ibrahim Azram, Mohammad QA Mathematics The Box-Jenkins methodology is very often used in financier when the time series are analyzed. The estimations of the parameters of the selected models are one of the first tasks of the analysis. The important problem that emerges in connection with the parameters estimation is the problem of their accuracy. This accuracy is often characterized by the bias and standard deviation. When we want to determine these characteristics by the exact methods some problems often emerge. One possibility of the solution of these problems is the bootstrap methods application. Three different approaches of the application of these methods in the autoregressive model are demonstrated in this paper. Simulation studies are conducted to evaluate the methods. Kulliyyah of Engineering, IIUM 2012-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/24644/4/24644_Analysis%20of%20time%20Series%20by%20re-sampling.pdf Mohamed, B. I. and Elfaki, Faiz Ahmed Mohamed and Daoud, Jamal Ibrahim and Azram, Mohammad (2012) Analysis of time series by re-sampling. In: "2nd International Conference on Mathematical Applications in Engineering (ICMAE 2012)", 3 - 5 July 2012, Seri Pacific Hotel, Kuala Lumpur, Malaysia. http://www.iium.edu.my/icmae/12/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA Mathematics
spellingShingle QA Mathematics
Mohamed, B. I.
Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
Azram, Mohammad
Analysis of time series by re-sampling
description The Box-Jenkins methodology is very often used in financier when the time series are analyzed. The estimations of the parameters of the selected models are one of the first tasks of the analysis. The important problem that emerges in connection with the parameters estimation is the problem of their accuracy. This accuracy is often characterized by the bias and standard deviation. When we want to determine these characteristics by the exact methods some problems often emerge. One possibility of the solution of these problems is the bootstrap methods application. Three different approaches of the application of these methods in the autoregressive model are demonstrated in this paper. Simulation studies are conducted to evaluate the methods.
format Conference or Workshop Item
author Mohamed, B. I.
Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
Azram, Mohammad
author_facet Mohamed, B. I.
Elfaki, Faiz Ahmed Mohamed
Daoud, Jamal Ibrahim
Azram, Mohammad
author_sort Mohamed, B. I.
title Analysis of time series by re-sampling
title_short Analysis of time series by re-sampling
title_full Analysis of time series by re-sampling
title_fullStr Analysis of time series by re-sampling
title_full_unstemmed Analysis of time series by re-sampling
title_sort analysis of time series by re-sampling
publisher Kulliyyah of Engineering, IIUM
publishDate 2012
url http://irep.iium.edu.my/24644/
http://irep.iium.edu.my/24644/
http://irep.iium.edu.my/24644/4/24644_Analysis%20of%20time%20Series%20by%20re-sampling.pdf
first_indexed 2023-09-18T20:36:57Z
last_indexed 2023-09-18T20:36:57Z
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