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Model containing proportional error only, with proportional only data

[Generated automatically as a Tutorial summary]

Inputs

Description

Name:po_gen_po_fit
Title:Model containing proportional error only, with proportional only data
Author:Wright Dose Ltd
Abstract:
One compartment model with a depot leading to a central compartment.
This model contains proportional error and no additive error. The synthetic input data contains only proportional error too.
Keywords:one compartment model; dep_one_cmp_cl; proportional error
Input Script:po_tut.pyml
Diagram:

True f[X] values

f[PNOISE_STD] = 0.1000

Starting f[X] values

f[PNOISE_STD] = 0.5000

Outputs

Generated data .csv file

Synthetic Data:synthetic_data.csv

Fitted f[X] values

f[PNOISE_STD] = 0.0928

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-572.6714

Final fitted objective value

-573.7490

Compare Main f[X]

No Main f[X] values to compare.

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[PNOISE_STD] 0.5 0.0928 0.1 7.25% 7.25e-03

Compare Variance f[X]

No Variance f[X] values to compare.

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