On Trimmed Data Effect in Parameter Estimation of Some Population Growth Models

Windarto, Eridani, Utami Dyah Purwati

2018

Abstract

Logistic model, Gompertz model, Richard model, Weibull model and Morgan-Mercer-Flodin model are commonly used to describe growth model of a population. In this paper, we study the effect of trimmed data on parameter estimation results of those models. We use chicken weight data cited from literature. Parameter values of the models from the complete data and the trimmed data are compared. Then, the sensitivity index of all parameters is evaluated. We found that that sensitivity order of the models from the highest sensitivity was the Morgan-Mercer-Flodin, Weibull, Richards, logistic and Gompertz growth model. For practical applications, Gompertz model and Richards are recommended in order to modelling growth of a population.

Paper Citation

in Harvard Style

Windarto., Eridani. and Purwati U. (2018). On Trimmed Data Effect in Parameter Estimation of Some Population Growth Models.In Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs, ISBN 978-989-758-407-7, pages 5-8. DOI: 10.5220/0008516300050008

in Bibtex Style

@conference{icmis18,
author={Windarto and Eridani and Utami Dyah Purwati},
title={On Trimmed Data Effect in Parameter Estimation of Some Population Growth Models},
booktitle={Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs,},
year={2018},
pages={5-8},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008516300050008},
isbn={978-989-758-407-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs,
TI - On Trimmed Data Effect in Parameter Estimation of Some Population Growth Models
SN - 978-989-758-407-7
AU - Windarto.
AU - Eridani.
AU - Purwati U.
PY - 2018
SP - 5
EP - 8
DO - 10.5220/0008516300050008