Title of article :
A characterization of saturated designs for factorial experiments
Author/Authors :
Fontana، نويسنده , , Roberto and Rapallo، نويسنده , , Fabio and Rogantin، نويسنده , , Maria Piera، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Abstract :
In this paper we study saturated fractions of factorial designs under the perspective of Algebraic Statistics. Exploiting the identification of a fraction with a binary contingency table, we define a criterion to check whether a fraction is saturated or not with respect to a given model. The proposed criterion is based on combinatorial algebraic objects, namely the circuit basis of the toric ideal associated to the design matrix of the model.
Keywords :
Graver basis , circuits , Universal Markov basis , Estimability , linear models
Journal title :
Journal of Statistical Planning and Inference
Journal title :
Journal of Statistical Planning and Inference