We discuss the applications of Algebraic Statistics to fractional factorial design with special emphasis on the choice of level coding. In particular we deal with the theory of Bayley (1983) level codings in that framework
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
A common problem experimenters face is the choice of fractional factorial designs. Minimum aberratio...
A common problem experimenters face is the choice of fractional factorial designs. Minimum aberratio...
In a general fractional factorial design, the n levels of a factor are coded by the nth roots of the...
Computational Commutative Algebra has been applied to the Design of Experiments by defining a design...
Design of Experiments is a branch of Statistics, which has a long tradition in the use of algebraic ...
Written by pioneers in this exciting new field, Algebraic statistics introduces the application of p...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of p...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
A common problem experimenters face is the choice of fractional factorial designs. Minimum aberratio...
A common problem experimenters face is the choice of fractional factorial designs. Minimum aberratio...
In a general fractional factorial design, the n levels of a factor are coded by the nth roots of the...
Computational Commutative Algebra has been applied to the Design of Experiments by defining a design...
Design of Experiments is a branch of Statistics, which has a long tradition in the use of algebraic ...
Written by pioneers in this exciting new field, Algebraic statistics introduces the application of p...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
The notion of regularity for fractional factorial designs was originally defined only for two-level ...
Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of p...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
DOI
Add to ORKG