# Estimation Results Tab¶

The Estimation Results tabs is displayed below.

The tab is divided into 3 sections. The top one is the *Fit
Information* section, which contains statistical information to help
determine the overall validity of the estimation. The *Estimated
Parameters* section contains the estimated values of the
parameters that were selected for estimation in the Est:Parameters tab.
The bottom section contains the fixed parameters, and
will have the values they were given in the same tab.

## Fit Information¶

We describe the meaning of the different fields of of the Fit Information section.

Optimal Value

The optimal value of the objective function in the estimation.

RSS

The Residual Sum of Squares.

AIC

The Akaike information criterion, which measures the relative quality of the statistical model. A lower value indicates a better solution.

AICc

The AICc is similar to the AIC, but with a greater penalty for extra parameters.

BIC

The Bayesian Information Criterion. Fills the same purpose as the AIC, but with a higher penalty for the number of parameters. More details, and a comparison between AIC and BIC can be found in the paper by Burnham and Anderson.

Number of estimates

Number of parameters that are estimated.

Number of Observations

Number of valid data values from the datatable that are used in the estimation.

## Estimated Parameters¶

The table in the *Estimated Parameter* section contains the computed
values of the parameters that were set for estimation, along with some
data computed in the confidence interval method. The Estimated Value
column contains the values returned by the estimation process. The Min
and Max refer to the min and max values that were set in the
Estimation Parameters tab. The values for the *Standard Error*,
*Confidence Interval*, *CI Low Bound*, *CI High Bound*, *p-values* and
*t-statistics* are obtained from the confidence interval computation,
currently with only the Fisher’s Information Method being available.

## Fixed parameters¶

These values are copied from the appropriate Estimation Parameters tab.

## Add and Simulate Button¶

Clicking on the **Add and Simulate** button at the bottom will cause DEDiscover to create a new parameter set with
the estimated values and perform a simulation with these values at the timepoints that were used during the estimation
process.