Modeling Malaysian Road Accidents: The Structural Time Series Approach

Modeling the number of road accidents occurrence is a quite common topic in recent years. A number of studies have been developed with the aim to find the best model that gives better prediction. However, statistical patterns such as trend and seasonality of road accidents is rarely observed. Estima...

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Main Author: Junus, Noor Wahida Binti Md
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.usm.my/48171/1/MODELING%20MALAYSIAN%20ROAD%20ACCIDENTS.pdf%20cut.pdf
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author Junus, Noor Wahida Binti Md
author_facet Junus, Noor Wahida Binti Md
author_sort Junus, Noor Wahida Binti Md
collection USM
description Modeling the number of road accidents occurrence is a quite common topic in recent years. A number of studies have been developed with the aim to find the best model that gives better prediction. However, statistical patterns such as trend and seasonality of road accidents is rarely observed. Estimating the pattern of trend and seasonal will indirectly provide a better impact on prediction system. Traditionally, estimation of trend and seasonal patterns are made based on decomposition method. Yet, this type of estimation shows intangible predictions as the estimation are based on deterministic form. Therefore, structural time series (STS) approach is proposed to model the trend and seasonal pattern of road accidents occurrence. In this thesis the road accidents model is developed using the STS approach with the aim to observe the pattern of trend and seasonality of road accidents occurrence. This thesis was done on all 5 main regions and 14 states in Malaysia. The study further enhance investigation on road accidents influences at different locations with appropriate explanatory variables.
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spelling usm.eprints-481712021-01-25T01:50:19Z http://eprints.usm.my/48171/ Modeling Malaysian Road Accidents: The Structural Time Series Approach Junus, Noor Wahida Binti Md QA1 Mathematics (General) Modeling the number of road accidents occurrence is a quite common topic in recent years. A number of studies have been developed with the aim to find the best model that gives better prediction. However, statistical patterns such as trend and seasonality of road accidents is rarely observed. Estimating the pattern of trend and seasonal will indirectly provide a better impact on prediction system. Traditionally, estimation of trend and seasonal patterns are made based on decomposition method. Yet, this type of estimation shows intangible predictions as the estimation are based on deterministic form. Therefore, structural time series (STS) approach is proposed to model the trend and seasonal pattern of road accidents occurrence. In this thesis the road accidents model is developed using the STS approach with the aim to observe the pattern of trend and seasonality of road accidents occurrence. This thesis was done on all 5 main regions and 14 states in Malaysia. The study further enhance investigation on road accidents influences at different locations with appropriate explanatory variables. 2018-01 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/48171/1/MODELING%20MALAYSIAN%20ROAD%20ACCIDENTS.pdf%20cut.pdf Junus, Noor Wahida Binti Md (2018) Modeling Malaysian Road Accidents: The Structural Time Series Approach. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA1 Mathematics (General)
Junus, Noor Wahida Binti Md
Modeling Malaysian Road Accidents: The Structural Time Series Approach
title Modeling Malaysian Road Accidents: The Structural Time Series Approach
title_full Modeling Malaysian Road Accidents: The Structural Time Series Approach
title_fullStr Modeling Malaysian Road Accidents: The Structural Time Series Approach
title_full_unstemmed Modeling Malaysian Road Accidents: The Structural Time Series Approach
title_short Modeling Malaysian Road Accidents: The Structural Time Series Approach
title_sort modeling malaysian road accidents the structural time series approach
topic QA1 Mathematics (General)
url http://eprints.usm.my/48171/1/MODELING%20MALAYSIAN%20ROAD%20ACCIDENTS.pdf%20cut.pdf
work_keys_str_mv AT junusnoorwahidabintimd modelingmalaysianroadaccidentsthestructuraltimeseriesapproach