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Description: Returns the results of the Cramér-von Mises (CVM) goodness-of-fit test for the selected mode type. This function applies only when you use the Crow Extended model with non-grouped data types.
Field Format: [CVMGGOF(Source Number)(Value_Index;Mode_Type;Signif_Level;System_Index)]
Source Number is the associated data source number.
Value_Index is a numerical value that allows you to specify which result to display:
To show whether the test passed or failed = 0.
To return the test value = 1.
To return the critical value = 2.
Mode_Type allows you to select the mode classification. It is shown in the function as a numerical value that indicates the selected mode: BC Modes = 1; BD Modes = 2; All Modes = 3.
Signif_Level is the significance level for the results.
System_Index is an optional value that allows you to return test results for individual systems if the data contains multiple systems and if enough data exists for the test. Enter the ID of the system you wish to obtain results for (e.g., 1 for System 1). If you do not enter an ID, the test will return results for the equivalent/superposition system.
Remarks:
The Source Number must be either 1,2,3 or 4.
If the critical value is less than the test value, then the CVM test passes.
Example:
[CVMGOF (1)(1,3,0.1,1)]
Returns:
0.2281467143
Note that this value will vary depending on the source data set.
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