Abstract
In this article, we analyze and characterize the saturated fractions of two-factor designs under the simple effect model. Using linear algebra, we define a criterion to check whether a given fraction is saturated or not. We also compute the number of saturated fractions, providing an alternative proof of the Cayley's formula. Finally, we show how, given a list of saturated fractions, Gini indexes of their margins and the associated state polytopes could be used to classify them.
Original language | English |
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Pages (from-to) | 66-82 |
Number of pages | 17 |
Journal | Journal of Statistical Theory and Practice |
Volume | 8 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2 Jan 2014 |
Externally published | Yes |
Keywords
- Estimability
- Gini index
- State polytope
- Universal Markov basis