Two-factor saturated designs: Cycles, gini index, and state polytopes

Roberto Fontana, Fabio Rapallo, Maria Piera Rogantin

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)66-82
Number of pages17
JournalJournal of Statistical Theory and Practice
Volume8
Issue number1
DOIs
Publication statusPublished - 2 Jan 2014
Externally publishedYes

Keywords

  • Estimability
  • Gini index
  • State polytope
  • Universal Markov basis

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