Environmental Science
8 years ago

New method accurately estimates variance components, revolutionizing data analysis.

1 view
Series Statistics
Best estimation of variance components from balanced data, with arbitrary kurtosis
Robert D. Anderson, H. V. Henderson, Friedrich Pukelsheim, S. R. Searle

Paper Summary

The article shows that even when data has a different shape than normal, certain estimators can still be the best for finding variance components. They use a method that involves matrix representations and a specific algorithm to calculate these estimators efficiently. This means that even with non-standard data shapes, the estimators can still be accurate and reliable.

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