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.
Kinetic Models Microbial Growth Parameter Estimation and Partial Sums
Birincil Dil | İngilizce |
---|---|
Konular | Biyokimya ve Hücre Biyolojisi (Diğer) |
Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 12 Haziran 2024 |
Gönderilme Tarihi | 27 Temmuz 2022 |
Yayımlandığı Sayı | Yıl 2024 Cilt: 42 Sayı: 3 |
IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/