About this document
Variance Decomposition in Unbalanced Data by Hugo Hernandez is a document available to read on EtoBox.
In this report, the basic principles of Variance Decomposition (ANOVA) are explained. These principles are then used to understand the implications of analyzing unbalanced data, and to propose some corrections in the calculations. For instance, by determining the equivalent degrees of freedom of each factor, it is possible to mitigate the effect of non-orthogonality of unbalanced data on the results.
- Author
- Hugo Hernandez
- Language
- EN