Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal

Three non-linear mathematical equations, namely Logistic, Gompertz, and Von Bertalanffy, were employed to depict the growth curves in question. The present investigation utilized a dataset sourced from the Wastewater Oxidation Pond located in Thailand. The dataset consisted of weight measurements of...

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Main Author:	Mizal, Muhammad Aiman Aqil
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Bayesian statistics
Online Access:	https://ir.uitm.edu.my/id/eprint/96766/1/96766.pdf
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id	my-uitm-ir.96766
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spelling	my-uitm-ir.967662024-06-11T16:42:18Z Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal 2023 Mizal, Muhammad Aiman Aqil Bayesian statistics Three non-linear mathematical equations, namely Logistic, Gompertz, and Von Bertalanffy, were employed to depict the growth curves in question. The present investigation utilized a dataset sourced from the Wastewater Oxidation Pond located in Thailand. The dataset consisted of weight measurements of Nile Tilapia fish, which were acquired at four-week intervals spanning from week 0 to week 48. The python software was utilized to fit each model individually to the body weight records of all Nile Tilapia Fish. The adequacy of the models was evaluated through the utilization of statistical measures such as the adjusted coefficient of determination (7? 2), Akaike’s Information Criterion (AIC), and Bayesian Information Criterion (BIC). The Von Bertalanffy model was found to be the most suitable for fitting the growth curve of Nile Tilapia fish, as indicated by its comparatively lower Mean Absolute Error (MAE) values and the lowest AIC and BIC values among the other models considered. The growth curve fit for Nile Tilapia fish was found to be the poorest using the Logistic model. The assessment of various growth equations utilized in this investigation demonstrated the potential of non-linear functions in accurately modeling body weight data of Nile Tilapia fish. 2023 Thesis https://ir.uitm.edu.my/id/eprint/96766/ https://ir.uitm.edu.my/id/eprint/96766/1/96766.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Embong, Muhammad Fauzi
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Embong, Muhammad Fauzi
topic	Bayesian statistics
spellingShingle	Bayesian statistics Mizal, Muhammad Aiman Aqil Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal
description	Three non-linear mathematical equations, namely Logistic, Gompertz, and Von Bertalanffy, were employed to depict the growth curves in question. The present investigation utilized a dataset sourced from the Wastewater Oxidation Pond located in Thailand. The dataset consisted of weight measurements of Nile Tilapia fish, which were acquired at four-week intervals spanning from week 0 to week 48. The python software was utilized to fit each model individually to the body weight records of all Nile Tilapia Fish. The adequacy of the models was evaluated through the utilization of statistical measures such as the adjusted coefficient of determination (7? 2), Akaike’s Information Criterion (AIC), and Bayesian Information Criterion (BIC). The Von Bertalanffy model was found to be the most suitable for fitting the growth curve of Nile Tilapia fish, as indicated by its comparatively lower Mean Absolute Error (MAE) values and the lowest AIC and BIC values among the other models considered. The growth curve fit for Nile Tilapia fish was found to be the poorest using the Logistic model. The assessment of various growth equations utilized in this investigation demonstrated the potential of non-linear functions in accurately modeling body weight data of Nile Tilapia fish.
format	Thesis
qualification_level	Bachelor degree
author	Mizal, Muhammad Aiman Aqil
author_facet	Mizal, Muhammad Aiman Aqil
author_sort	Mizal, Muhammad Aiman Aqil
title	Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal
title_short	Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal
title_full	Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal
title_fullStr	Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal
title_full_unstemmed	Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal
title_sort	comparison of three nonlinear growth models in prediction of growth nile tilapia fish / muhammad aiman aqil mizal
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/96766/1/96766.pdf
_version_	1804890005541224448

Comparison of three nonlinear growth models in prediction of growth Nile Tilapia fish / Muhammad Aiman Aqil Mizal

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