Equivalency of Gross Errors


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Equivalency of Gross Errors
Equivalency of Gross Errors
<emphasis role="bold">Definition</emphasis> Two sets of gross errors are equivalent when they have the same effect in data reconciliation, that is, when eliminating either one, leads to the same value of the objective function. Therefore, the equivalent sets of gross errors are theoretically undistinguishable. In other words, when a set of gross errors is identified, there exists an equal possibility that the true locations of gross errors are in one of its equivalent sets. We illustrate this now through an example.
Citation
Miguel J. Bagajewicz; Donald J. Chmielewski: Smart Process Plants Software and Hardware Solutions for Accurate Data and Profitable Operations. Equivalency of Gross Errors, Chapter (McGraw-Hill Professional, 2010), AccessEngineering Export