Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim
The aim of this project is to estimate the population of Selangor. This project has been conducted using secondary data that has been collected from Department of Statistic Malaysia. The data have been collected from 1991 to 2021. The calculation of population is conducted using Microsoft Excel. Thi...
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| 语言: | English |
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2023
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my-uitm-ir.966422024-06-10T08:05:06Z Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim 2023 Salim, Izzati Zakirah Analytical methods used in the solution of physical problems The aim of this project is to estimate the population of Selangor. This project has been conducted using secondary data that has been collected from Department of Statistic Malaysia. The data have been collected from 1991 to 2021. The calculation of population is conducted using Microsoft Excel. This calculation needs to do carefully using excel to prevent calculation error. Exponential growth model, logistic growth model and Gompertz growth model are used to estimate the population of Selangor. The result from this project shows that exponential growth model, logistic growth model and Gompertz growth model are suitable to calculate Selangor’s population. We also estimate that logistic growth model is better than exponential model and Gompertz growth model. 2023 Thesis https://ir.uitm.edu.my/id/eprint/96642/ https://ir.uitm.edu.my/id/eprint/96642/1/96642.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Ramli, Roslina |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Ramli, Roslina |
| topic |
Analytical methods used in the solution of physical problems |
| spellingShingle |
Analytical methods used in the solution of physical problems Salim, Izzati Zakirah Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim |
| description |
The aim of this project is to estimate the population of Selangor. This project has been conducted using secondary data that has been collected from Department of Statistic Malaysia. The data have been collected from 1991 to 2021. The calculation of population is conducted using Microsoft Excel. This calculation needs to do carefully using excel to prevent calculation error. Exponential growth model, logistic growth model and Gompertz growth model are used to estimate the population of Selangor. The result from this project shows that exponential growth model, logistic growth model and Gompertz growth model are suitable to calculate Selangor’s population. We also estimate that logistic growth model is better than exponential model and Gompertz growth model. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Salim, Izzati Zakirah |
| author_facet |
Salim, Izzati Zakirah |
| author_sort |
Salim, Izzati Zakirah |
| title |
Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim |
| title_short |
Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim |
| title_full |
Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim |
| title_fullStr |
Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim |
| title_full_unstemmed |
Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim |
| title_sort |
estimation of selangor population based on year using exponential growth model, logistic growth model and gompertz growth model / izzati zakirah salim |
| granting_institution |
Universiti Teknologi MARA, Terengganu |
| granting_department |
College of Computing, Informatics and Mathematics |
| publishDate |
2023 |
| url |
https://ir.uitm.edu.my/id/eprint/96642/1/96642.pdf |
| _version_ |
1804890001271422976 |