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Statistically Sufficient Aggregation of Performance Measures under a Normal Distribution
College of Business and Economics, California State University East Bay, Hayward, CA, USA
- 1 College of Business and Economics, California State University East Bay, Hayward, CA, USA
Theoretical Economics Letters·Volume 09 (2019)·Pages 2229–2235·Published 29 August 2019·DOI10.4236/tel.2019.97141
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Abstract
This study analyzes the minimum dimension of statistically sufficient aggregation when performance measures are joint-normally distributed. Statistically sufficient aggregates incur no loss of information during the aggregation process and provide robustness to performance evaluation systems. This study shows that there is no one-dimensional statistically sufficient aggregate in a multi-task setting.
KeywordsAggregationPerformance MeasuresMultiple TasksSufficiency
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