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- Title
Rapid parameter estimation of four non-linear growth models for analyzing the growth of Escherichia Coli.
- Authors
GOGOI, Udoy NARAYAN; SAIKIA, Pallabi; MAHANTA, Dimpal Jyoti
- Abstract
In this paper we develop five new methods of estimation to estimate the parameters of four widely used nonlinear models namely Haldane, Powell, Moser and Webb model. A standard growth data set of Escherichia Coli is considered for estimating the parameters. The estimated model parameters are analyzed by evaluating statistical parameters χ², Root Mean Square Error, R², R² a and R² pre. As a result, the Powell model gives the best fit with estimation of R² as 99.7% with respect to method IV. Moreover, the other three models also provide remarkable fit along with the newly introduced methods. Method II gives R² value as 99% in case of the Haldane model. The method IV estimates with R² value as 99.6% in the Moser model and the method III estimates with R² value as 99.4% in case of the Webb model.
- Subjects
PARAMETER estimation; NONLINEAR estimation; ESCHERICHIA coli; STANDARD deviations
- Publication
Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi, 2024, Vol 42, Issue 3, p778
- ISSN
1304-7191
- Publication type
Article
- DOI
10.14744/sigma.2024.00067