Results 11 to 20 of about 201 (66)
A general theory of minimum aberration and its applications [PDF]
Minimum aberration is an increasingly popular criterion for comparing and assessing fractional factorial designs, and few would question its importance and usefulness nowadays.
Cheng, Ching-Shui, Tang, Boxin
core +2 more sources
Construction of nested space-filling designs [PDF]
New types of designs called nested space-filling designs have been proposed for conducting multiple computer experiments with different levels of accuracy. In this article, we develop several approaches to constructing such designs.
Ai, Mingyao+2 more
core +2 more sources
Construction of optimal multi-level supersaturated designs [PDF]
A supersaturated design is a design whose run size is not large enough for estimating all the main effects. The goodness of multi-level supersaturated designs can be judged by the generalized minimum aberration criterion proposed by Xu and Wu [Ann ...
Wu, C. F. J., Xu, Hongquan
core +2 more sources
Orthogonal arrays of size 108 with six-level columns
A special structure of the two level orthogonal array of order 12 is given. By using this structure and the method of constructing mixed-level orthogonal arrays presented by Zhang, Lu and Pang (1999), a lot of mixed- level orthogonal arrays of run size ...
S. Pang, Yingshan Zhang
semanticscholar +1 more source
Efecto de datos influyentes en el análisis de diseños factoriales de efectos fijos 3 ω
This paper provides a methodology alternative for the detection of in- fluential observations in factorial design of fixed effects 3 ω . Our proposal is developed through the approach of the test statistic (Fq), and the characterization of the impact of ...
Ó. Melo+2 more
semanticscholar +1 more source
Majorization framework for balanced lattice designs [PDF]
This paper aims to generalize and unify classical criteria for comparisons of balanced lattice designs, including fractional factorial designs, supersaturated designs and uniform designs. We present a general majorization framework for assessing designs, which includes a stringent criterion of majorization via pairwise coincidences and flexible ...
arxiv +1 more source
Markov chain Monte Carlo tests for designed experiments [PDF]
We consider conditional exact tests of factor effects in designed experiments for discrete response variables. Similarly to the analysis of contingency tables, a Markov chain Monte Carlo method can be used for performing exact tests, when large-sample approximations are poor and the enumeration of the conditional sample space is infeasible.
arxiv +1 more source
Design and analysis of fractional factorial experiments from the viewpoint of computational algebraic statistics [PDF]
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 indicator functions allow us to treat fractional factorial designs without distinction between regular designs and non ...
arxiv +1 more source
Optimal allocation of sample size for randomization-based inference from 2K factorial designs
Optimizing the allocation of units into treatment groups can help researchers improve the precision of causal estimators and decrease costs when running factorial experiments.
Ravichandran Arun+3 more
doaj +1 more source
Some results on $2^{n-m}$ designs of resolution IV with (weak) minimum aberration
It is known that all resolution IV regular $2^{n-m}$ designs of run size $N=2^{n-m}$ where $5N ...
Chen, Hegang H., Cheng, Ching-Shui
core +1 more source