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

[Generated automatically as a Tutorial summary]

## Model Description

Name:

  ao_gen_ao_fit

Title:

  Model containing additive error only and additive error only input data

Author:

  PoPy for PK/PD

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:

## 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 | Abs. Error | Prop. Error
--- | --- | --- | --- | --- | ---
f[ANOISE_STD] | 0.25 | 0.0464 | 0.05 | 3.62e-03 | 7.25%

### Compare Variance f[X]

No Variance f[X] values to compare.

## Outputs

### Fitted f[X] values (after fitting)

    f[ANOISE_STD] = 0.0464

### Generated data .csv file

Synthetic Data:

  `synthetic_data.csv`

### Gen and Fit 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)

## Inputs

### True f[X] values (for simulation)

    f[ANOISE_STD] = 0.0500

### Starting f[X] values (before fitting)

    f[ANOISE_STD] = 0.2500