How To Fix /SAPAPO/MA726 - Durbin h ist too small


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/MA -

  • Message number: 726

  • Message text: Durbin h ist too small

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/MA726 - Durbin h ist too small ?

    The SAP error message /SAPAPO/MA726 Durbin hist too small typically occurs in the context of SAP Advanced Planning and Optimization (APO), particularly when dealing with statistical forecasting methods. This error indicates that the historical data used for the Durbin-Watson test (a statistical test used to detect the presence of autocorrelation in the residuals from a regression analysis) is insufficient or too small for the calculations to be performed.

    Cause:

    1. Insufficient Historical Data: The most common cause of this error is that the historical data for the product or location being analyzed is too limited. The Durbin-Watson test requires a certain amount of data points to provide reliable results.
    2. Data Gaps: There may be gaps in the historical data, such as missing values or periods with no sales, which can lead to an inadequate dataset for the analysis.
    3. Configuration Issues: Incorrect settings in the forecasting model or configuration may also lead to this error.

    Solution:

    1. Increase Historical Data: Ensure that there is enough historical data available for the product/location. Ideally, you should have several periods of data (e.g., months or years) to perform the analysis effectively.
    2. Check for Data Gaps: Review the historical data for any missing values or gaps. Fill in missing data where possible or consider using a different product/location with more complete data.
    3. Adjust Forecasting Model: If the historical data cannot be increased, consider using a different forecasting model that does not rely on the Durbin-Watson test or is more suitable for smaller datasets.
    4. Review Configuration: Check the configuration settings in the forecasting model to ensure they are set up correctly. This may involve consulting with your SAP APO administrator or a functional consultant.

    Related Information:

    • Durbin-Watson Test: Understand the purpose of the Durbin-Watson test and how it is used in forecasting. It helps to assess the independence of residuals in regression analysis.
    • SAP APO Documentation: Refer to SAP documentation for more details on statistical forecasting methods and the requirements for using the Durbin-Watson test.
    • SAP Community: Engage with the SAP Community or forums for insights from other users who may have encountered and resolved similar issues.

    By addressing the underlying causes of the error, you can resolve the issue and ensure that your forecasting processes in SAP APO run smoothly.

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