Modeling Malaysian Road Accidents: The Structural Time Series Approach

Simple item page
dc.contributor.authorJunus, Noor Wahida Binti Md
dc.date.accessioned2021-01-25T01:30:27Z
dc.date.available2021-01-25T01:30:27Z
dc.date.issued2018-01
dc.description.abstractModeling 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.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/10988
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectModeling Malaysian Road Accidentsen_US
dc.subjectStructural Time Series Approachen_US
dc.titleModeling Malaysian Road Accidents: The Structural Time Series Approachen_US
dc.typeThesisen_US
Files
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Pusat Pengajian Sains Matematik - Tesis