Manuals >Statistical Analysis >Analyzing Data
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Non-Parametric Analysis

To build a non-parametric model using a given data set:

  1   Load the data and filter out the outliers either manually or automatically.

For details on eliminating outliers through data filtering, refer to Filtering Data.

  2   Transform the data if a given parameter naturally ranges over more than one decade of values (e.g., 10-100).

For details on transforming data, refer to Transforming Data.

  3   Choose Analysis > Non-Parametric Analysis to display the Non-Parametric Analysis dialog box.

  4   Enter the desired number of boundary points and the percentage of data to be enclosed.

For background details on modifying these options, refer to Using the Non-Parametric Analysis Dialog Box.

  5   Enter the desired diversity oversampling and the density estimator percentage. For background details on modifying these options, refer to Using the Non-Parametric Analysis Dialog Box.

  6   Click Check and Adjust Inputs to check and adjust the inputs for boundary points, percent enclosed, and diversity oversampling.

  7   Click OK to automatically analyze and display the results in a separate window.

Click Apply instead of OK to repeat the process and perform an analysis using different settings.


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