Workspace Node: Nonlinear Estimation - Results - Advanced Tab

In the Nonlinear Estimation node dialog box, under the Specifications heading, select the Advanced tab to access the following options.

Element Name Description
Summary: Parameter estimates Select this check box to create a spreadsheet with the parameter estimates for the current model. Summary statistics for the current analysis will be displayed in the spreadsheet header.
Note: If the Asymptotic standard errors check box is selected on the Specifications - Advanced tab, the Summary: Parameter estimates check box is replaced by the Summary: Parameters & standard errors check box. Select this check box to display a spreadsheet with the parameter estimates for the current model as well as the (asymptotic) standard errors of the parameter estimates, the respective t-values (parameters divided by standard errors), and the associated p-values.    
Logistic regression Several additional summary statistics are displayed in the spreadsheet when logistic regression is performed. Odds ratios are displayed for each parameter estimate for a unit change in the predictor variable and for a change equal to the observed range of values of the predictor variable. If the Asymptotic standard errors check box is selected on the Specifications - Advanced tab, the spreadsheet will also show Wald's Chi-square statistics and associated p-values for testing the significance of the parameters. Upper and lower confidence limits for the parameter estimates and the odds ratios will also be displayed. These confidence limits are computed using the Alpha value specified in the Confidence intervals for parameter estimates box.
p-value for highlighting Adjust the p-value by entering a new value in the p-value for highlighting box or by using the microscrolls. The default p-value for highlighting is .05. On the summary spreadsheet, STATISTICA will highlight all p-values that are equal to or less than the value specified in this field. For more details on p-value, see Elementary Concepts.
Scale MS-error to 1 Select this check box to rescale the mean square error to 1, which is recommended for maximum likelihood estimates. The resulting standard deviations for the parameter estimates are then the usual information theory standard errors (Jennrich & Moore, 1975). When using maximum likelihood estimation for probit or logit models, this check box Is automatically selected.
Confidence intervals for parameter estimates Adjust the confidence intervals for parameter estimates by entering a new value in this box or by using the microscrolls. The default value is 95%.
Covars & correlations of parameters Select this check box to produce a spreadsheet with the (asymptotic) variance/covariance matrix for the parameter estimates and a spreadsheet with the correlations between parameter estimates. Note that this check box is only available if the Asymptotic standard errors check box is selected on the Specifications - Advanced tab.
Fitted 2D function & observed vals Select this check box to create a two-dimensional graph of the observed values. This plot allows a two-dimensional visual examination (i.e., qualitative evaluation) of the fit of the data to the model. It is useful for identification of outliers, which can then be marked in the Data Editor using the Brushing Tool button.
Fitted 3D function & observed vals Select this check box to produce a three-dimensional graph with the observed values. This plot allows a three-dimensional visual examination (i.e., qualitative evaluation) of the fit of the data to the model. It is useful for identification of outliers, which can then be marked in the Data Editor using the Brushing Tool button.

Options / C / W. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project.