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Message type: E = Error
Message class: SEPMH_DG - EPM HANA DG - Messages
Message number: 022
Message text: Poisson distribution (Lambda='&1') exceeds ABAP decimal value range
The EPM HANA DG attribute rule 'Poisson distribution' cannot be
calculated based on the given
Lambda value ( expected value ) because the calculation exceeds the
maximum decimal value
range that ABAP can handle (DECFLOAT34).
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
None.
Assign a smaller lambda value. Example: You want to calculate a Poisson
distribution with
Lambda = 150.000 $. Express the value as 150k $ => Lambda = 150.
Error message extract from SAP system. Copyright SAP SE.
SEPMH_DG022
- Poisson distribution (Lambda='&1') exceeds ABAP decimal value range ?The SAP error message SEPMH_DG022 indicates that a Poisson distribution calculation is attempting to use a lambda (?) value that exceeds the allowable range for ABAP decimal values. This typically occurs in statistical calculations where the lambda parameter is used to model the average rate of events in a fixed interval of time or space.
Cause:
- Excessive Lambda Value: The lambda value being used in the Poisson distribution calculation is too large for the ABAP decimal data type. In ABAP, the maximum value for a decimal is limited, and if the lambda exceeds this limit, the error will occur.
- Data Input Issues: The input data for the lambda value may be incorrectly set or derived from a calculation that results in an excessively large number.
- Configuration Issues: There may be configuration settings in the SAP system that are not properly set, leading to the generation of large lambda values.
Solution:
- Check Input Values: Review the input values being used for the Poisson distribution calculation. Ensure that the lambda value is within a reasonable range. If the value is derived from other calculations, trace back to identify where the excessive value is coming from.
- Adjust Calculations: If the lambda value is calculated based on other data, consider adjusting the logic to ensure that it remains within the acceptable range.
- Data Validation: Implement validation checks in your code or data processing logic to prevent excessively large values from being used in the Poisson distribution calculations.
- Use Alternative Approaches: If the lambda value is inherently large due to the nature of the data, consider using alternative statistical methods or distributions that can handle larger values or different modeling approaches.
- Consult Documentation: Review SAP documentation or consult with SAP support for any specific limitations or recommendations regarding the use of Poisson distribution in your version of SAP.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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