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A polynomial indicator function of designs is first introduced by Fontana, Pistone and Rogantin (2000) for two-level designs. They give the structure of the indicator function of two-level designs, especially from the viewpoints of the…

Statistics Theory · Mathematics 2019-02-15 Satoshi Aoki

A polynomial indicator function of designs is first introduced by Fontana {\it et al}. (2000) for two-level cases. They give the structure of the indicator functions, especially the relation to the orthogonality of designs. These results…

Computation · Statistics 2021-10-01 Satoshi Aoki , Masayuki Noro

In this paper we study the behavior of the fractions of a factorial design under permutations of the factor levels. We focus on the notion of regular fraction and we introduce methods to check whether a given symmetric orthogonal array can…

Methodology · Statistics 2017-05-04 Fabio Rapallo , Maria Piera Rogantin

The joint use of counting functions, Hilbert basis and Markov basis allows to define a procedure to generate all the fractions that satisfy a given set of constraints in terms of orthogonality. The general case of mixed level designs,…

Methodology · Statistics 2009-06-18 Roberto Fontana , Giovanni Pistone

Use of polynomial indicator functions to enumerate fractional factorial designs with given properties is first introduced by Fontana, Pistone and Rogantin (2000) for two-level factors, and generalized by Aoki (2019) for multi-level factors.…

Methodology · Statistics 2024-05-22 Satoshi Aoki , Masayuki Noro

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…

Methodology · Statistics 2015-01-15 Roberto Fontana

A new class of two-level non-regular fractional factorial designs is defined. We call this class an {\it affinely full-dimensional factorial design}, meaning that design points in the design of this class are not contained in any affine…

Methodology · Statistics 2009-07-22 Satoshi Aoki , Akimichi Takemura

Two-level factorial designs are widely used in industrial experiments. For processes involving \(n\) factors, the construction of designs comprising \(2^n\) and \(2^{n-p}\) factorials, arranged in blocks of size \(2^q\) is investigated. The…

Statistics Theory · Mathematics 2019-07-05 Janet Godolphin

Every fraction is a union of points, which are trivial regular fractions. To characterize non trivial decomposition, we derive a condition for the inclusion of a regular fraction as follows. Let $F = \sum_\alpha b_\alpha X^\alpha$ be the…

Methodology · Statistics 2007-11-01 Roberto Fontana , Giovanni Pistone

Unreplicated two-level factorial designs are often used in screening experiments to determine which factors out of a large plausible set are active. A theorem regarding the generalized word count pattern is stated and proved for…

Methodology · Statistics 2025-10-14 Xietao Zhou , Steven G. Gilmour

Designs for screening experiments usually include factors with two levels only. Adding a few four-level factors allows for the inclusion of multi-level categorical factors or quantitative factors with possible quadratic or third-order…

Methodology · Statistics 2023-05-11 Alexandre Bohyn , Eric D. Schoen , Peter Goos

We give an expository review of applications of computational algebraic statistics to design and analysis of fractional factorial experiments based on our recent works. For the purpose of design, the techniques of Gr\"obner bases and…

Methodology · Statistics 2012-04-09 Satoshi Aoki , Akimichi Takemura

An {\em $m\times n$ row-column factorial design} is an arrangement of the elements of a factorial design into a rectangular array. Such an array is used in experimental design, where the rows and columns can act as blocking factors. If for…

Statistics Theory · Mathematics 2021-01-18 Fahim Rahim , Nicholas Cavenagh

The partition function of a factor graph can sometimes be accurately estimated by Monte Carlo methods. In this paper, such methods are extended to factor graphs with negative and complex factors.

Computation · Statistics 2012-10-09 Mehdi Molkaraie , Hans-Andrea Loeliger

In the context of algebraic statistics an experimental design is described by a set of polynomials called the design ideal. This, in turn, is generated by finite sets of polynomials. Two types of generating sets are mostly used in the…

Methodology · Statistics 2008-09-10 Roberto Notari , Eva Riccomagno , Maria-Piera Rogantin

The article studies a class of generalized factorial functions and symbolic product sequences through Jacobi type continued fractions (J-fractions) that formally enumerate the divergent ordinary generating functions of these sequences. The…

Combinatorics · Mathematics 2017-04-26 Maxie D. Schmidt

The study of good nonregular fractional factorial designs has received significant attention over the last two decades. Recent research indicates that designs constructed from quaternary codes (QC) are very promising in this regard. The…

Statistics Theory · Mathematics 2011-05-16 Runchu Zhang , Frederick K. H. Phoa , Rahul Mukerjee , Hongquan Xu

We characterize mixed-level orthogonal arrays in terms of algebraic designs in a special multigraph. We prove a mixed-level analog of the Bierbrauer-Friedman (BF) bound for pure-level orthogonal arrays and show that arrays attaining it are…

Combinatorics · Mathematics 2025-11-03 Denis S. Krotov , Ferruh Özbudak , Vladimir N. Potapov

The partition function of a factor graph and the partition function of the dual factor graph are related to each other by the normal factor graph duality theorem. We apply this result to the classical problem of computing the partition…

Information Theory · Computer Science 2013-07-16 Mehdi Molkaraie , Hans-Andrea Loeliger

In this paper, the result of applying iterative univariate resultant constructions to multivariate polynomials is analyzed. We consider the input polynomials as generic polynomials of a given degree and exhibit explicit decompositions into…

Symbolic Computation · Computer Science 2008-10-29 Laurent Busé , Bernard Mourrain
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