Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim

Salim, Izzati Zakirah (2023) Estimation of Selangor population based on year using exponential growth model, logistic growth model and Gompertz growth model / Izzati Zakirah Salim. Degree thesis, Universiti Teknologi MARA, Terengganu.

Abstract

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.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Salim, Izzati Zakirah
2020878524
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ramli, Roslina
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus
Programme: Bachelor of Science (Hons.) Mathematical Modelling and Analytics
Keywords: Department of Statistic Malaysia, Gompertz growth model
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/96642
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