Logistics

Large tests model's description for 2500 lines measurement:

With 2500 lines+

Description

This model will transform your data to y* = ln(y/y0) and fit the transformed data to the model. And then revert the transformation and show the results in the initial space.

M. H. Zwietering, I. Jongenburger, F. M. Rombouts, and K. van ’t Riet. Modeling of the bacterial growth curve. Applied and Environmental Microbiology, 56(6):1875–1881, June 1990.

Options

Does not include death phase
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Estimation is performed on log scale (base e)
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Listing 5 parameters

TitleEstimated parameterDescriptionBottom range for estimationTop range for estimation
A3.893841A=ln( Nmax / N0)
λ-5.0lag until exponential growth occurs
μ max.0.015802maximum growth rate
Optimal Cost66.5337719307991not used in the solver(n/a)(n/a)
N0: y = ln(N/N0)-2.46947Initial population density(n/a)(n/a)
Download table as .csv
RMSEclick here for more information

Root Mean Square Error (RMSE):

Rmse

For more information: link to Wikipedia articleTrans
R2click here for more information R_square

For more information: link to Wikipedia articleTrans
Biasclick here for more information

Bias Factor (Bf):

Bias

For more information check Ross, T. Indices for performance evaluation of predictive models in food microbiology. Journal of Applied Bacteriology 81, 501–508 (1996).

(link to journal articleTrans )
Accuracyclick here for more information

Accuracry Factor (Af):

Accuracy

For more information check Ross, T. Indices for performance evaluation of predictive models in food microbiology. Journal of Applied Bacteriology 81, 501–508 (1996).

link to journal articleTrans
0.31748 0.96077 1.00015 0.99985

Logistics's Curve