Orthogonal Fractional Factorial Designs and in particular Orthogonal Arrays are frequently used in many fields of application, including medicine, engineering and agriculture. In this paper we present a methodology and an algorithm to find an orthogonal array, of given size and strength, that satisfies the generalized minimum aberration criterion. The methodology is based on the joint use of polynomial counting functions, complex coding of levels and algorithms for quadratic optimization and puts no restriction on the number of levels of each factor
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
Deng and Tang (Technometrics 44 (2002) 173) constructed a catalog of designs of 16, 20 and 24 runs u...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
Orthogonal Fractional Factorial Designs and in particular Orthogonal Arrays are frequently used in m...
Generation of orthogonal fractional factorial designs (OFFDs) is an important and extensively studie...
Orthogonal fractional factorial designs (OFFDs) are frequently used in many fields of application, i...
Orthogonal fractional factorial designs (OFFDs) are frequently used in many elds of application, in...
An algorithm for the creation of mixed level arrays with generalized minimum aberration (GMA) is pro...
AbstractFractional factorial designs are popular and widely used for industrial experiments. General...
The desirable properties of fractional factorial design: Balance and orthogonal; was examined for ne...
We generate all the Orthogonal Arrays (OAs) of a given size n and strength t as the union of a colle...
We generate all the Orthogonal Arrays (OAs) of a given size n and strength t as the union of a colle...
Non-regular factorial designs have not been advocated until last decade clue to their complex aliasi...
Due to the increasing demand for two-level fractional factorials in areas of science and technology,...
Fractional factorial designs are popular and widely used for industrial experiments. Generalized min...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
Deng and Tang (Technometrics 44 (2002) 173) constructed a catalog of designs of 16, 20 and 24 runs u...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...
Orthogonal Fractional Factorial Designs and in particular Orthogonal Arrays are frequently used in m...
Generation of orthogonal fractional factorial designs (OFFDs) is an important and extensively studie...
Orthogonal fractional factorial designs (OFFDs) are frequently used in many fields of application, i...
Orthogonal fractional factorial designs (OFFDs) are frequently used in many elds of application, in...
An algorithm for the creation of mixed level arrays with generalized minimum aberration (GMA) is pro...
AbstractFractional factorial designs are popular and widely used for industrial experiments. General...
The desirable properties of fractional factorial design: Balance and orthogonal; was examined for ne...
We generate all the Orthogonal Arrays (OAs) of a given size n and strength t as the union of a colle...
We generate all the Orthogonal Arrays (OAs) of a given size n and strength t as the union of a colle...
Non-regular factorial designs have not been advocated until last decade clue to their complex aliasi...
Due to the increasing demand for two-level fractional factorials in areas of science and technology,...
Fractional factorial designs are popular and widely used for industrial experiments. Generalized min...
The joint use of counting functions, Hilbert basis and Markov basis allows us to define a procedure ...
Deng and Tang (Technometrics 44 (2002) 173) constructed a catalog of designs of 16, 20 and 24 runs u...
The joint use of counting functions, Hilbert basis, and Markov basis allows to define a procedure to...