Forecast the road accidents in Malaysia using exponential smoothing and multiple linear regression modelling / Nor Salam Abdul Manaf

In Malaysia, traffic accidents are a significant public health issue, and the government is continuously seeking for measures to prevent them. Creating precise forecasting algorithms that can anticipate future traffic accidents is one method to do this. In this study, multiple linear regression and...

Full description

Saved in:
Bibliographic Details
Main Author: Abdul Manaf, Nor Salam
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/97161/1/97161.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uitm-ir.97161
record_format uketd_dc
spelling my-uitm-ir.971612024-06-24T16:47:05Z Forecast the road accidents in Malaysia using exponential smoothing and multiple linear regression modelling / Nor Salam Abdul Manaf 2023 Abdul Manaf, Nor Salam Analytical methods used in the solution of physical problems In Malaysia, traffic accidents are a significant public health issue, and the government is continuously seeking for measures to prevent them. Creating precise forecasting algorithms that can anticipate future traffic accidents is one method to do this. In this study, multiple linear regression and exponential smoothing as two forecasting models examined. A straightforward forecasting methodology called exponential smoothing uses historical data to forecast future values. The concept is predicated on the idea that recent data points are more significant than historical data points. Multiple independent variables are used in a more intricate forecasting model called multiple linear regression to predict a dependent variable. 2023 Thesis https://ir.uitm.edu.my/id/eprint/97161/ https://ir.uitm.edu.my/id/eprint/97161/1/97161.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Mat Ripin, Rohayati
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mat Ripin, Rohayati
topic Analytical methods used in the solution of physical problems
spellingShingle Analytical methods used in the solution of physical problems
Abdul Manaf, Nor Salam
Forecast the road accidents in Malaysia using exponential smoothing and multiple linear regression modelling / Nor Salam Abdul Manaf
description In Malaysia, traffic accidents are a significant public health issue, and the government is continuously seeking for measures to prevent them. Creating precise forecasting algorithms that can anticipate future traffic accidents is one method to do this. In this study, multiple linear regression and exponential smoothing as two forecasting models examined. A straightforward forecasting methodology called exponential smoothing uses historical data to forecast future values. The concept is predicated on the idea that recent data points are more significant than historical data points. Multiple independent variables are used in a more intricate forecasting model called multiple linear regression to predict a dependent variable.
format Thesis
qualification_level Bachelor degree
author Abdul Manaf, Nor Salam
author_facet Abdul Manaf, Nor Salam
author_sort Abdul Manaf, Nor Salam
title Forecast the road accidents in Malaysia using exponential smoothing and multiple linear regression modelling / Nor Salam Abdul Manaf
title_short Forecast the road accidents in Malaysia using exponential smoothing and multiple linear regression modelling / Nor Salam Abdul Manaf
title_full Forecast the road accidents in Malaysia using exponential smoothing and multiple linear regression modelling / Nor Salam Abdul Manaf
title_fullStr Forecast the road accidents in Malaysia using exponential smoothing and multiple linear regression modelling / Nor Salam Abdul Manaf
title_full_unstemmed Forecast the road accidents in Malaysia using exponential smoothing and multiple linear regression modelling / Nor Salam Abdul Manaf
title_sort forecast the road accidents in malaysia using exponential smoothing and multiple linear regression modelling / nor salam abdul manaf
granting_institution Universiti Teknologi MARA, Terengganu
granting_department College of Computing, Informatics and Mathematics
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/97161/1/97161.pdf
_version_ 1804890016541835264