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Model containing additive error only and additive error only input data¶

[Generated automatically as a Tutorial summary]

Inputs¶

Description¶

Name:	ao_gen_ao_fit
Title:	Model containing additive error only and additive error only input data
Author:	Wright Dose Ltd
Abstract:

One compartment model with a depot leading to a central compartment.

This model contains additive error only and the synthetic input data contains additive error only.

Keywords:	one compartment model; dep_one_cmp_cl; additive error
Input Script:	`ao_tut.pyml`
Diagram:

True f[X] values¶

f[ANOISE_STD] = 0.0500

Starting f[X] values¶

f[ANOISE_STD] = 0.2500

Outputs¶

Generated data .csv file¶

Synthetic Data:	`synthetic_data.csv`

Generating and Fitting Summaries¶

Gen: Model containing additive error only and additive error only input data (gen)
Fit: Model containing additive error only and additive error only input data (fit)

Fitted f[X] values¶

f[ANOISE_STD] = 0.0464

Plots¶

Dense comp plots¶

Alternatively see All dense_comp graph plots

Comparison¶

True objective value¶

-513.1177

Final fitted objective value¶

-514.1953

Compare Main f[X]¶

No Main f[X] values to compare.

Compare Noise f[X]¶

Name	Initial	Fitted	True	Prop. Error	Abs. Error
f[ANOISE_STD]	0.25	0.0464	0.05	7.25%	3.62e-03

Compare Variance f[X]¶

No Variance f[X] values to compare.

Documentation