Sequential experiment design strategies have been proposed for efficiently augmenting initial designs to solve many problems of interest to computer experimenters, including optimization, contour and threshold estimation, and global prediction. We focus on batch sequential design strategies for achieving maturity in global prediction of discrepancy inferred from computer model calibration. Pred...

In many quality improvement experiments there are one or more control factors that can be modi ed to determine a nal product design or manufacturing process and one or more environmental or noise factors that vary under eld or man ufacturing conditions In many applications the product design or process design is considered seriously awed if its performance is poor for any level of the environme...

The use of fractional factorial designs in the study of complex decision making, involving many attributes, implies the problem of information overload and respondent burden, potentially jeopardizing the validity of such experiments. To avoid or reduce the impact of these potential problems, Hierarchical Information Integration has been suggested. The key notion is to classify the large number ...

O planejamento fatorial fracionário e com ponto central foram aplicados no desenvolvimento de um biossensor amperométrico para determinação do vírus da hepatite C. As biomoléculas foram imobilizadas por adsorção em eletrodos de grafite modificados com filme sol-gel preparado com matriz híbrida siloxano-poli(propileno-óxido). Diversos parâmetros foram otimizados, tais como a concentração da estr...

Article history: Received 2 August 2008 Received in revised form 1 July 2009 Accepted 2 July 2009 Available online 9 July 2009

Health behavior intervention studies have focused primarily on comparing new programs and existing programs via randomized controlled trials. However, numbers of possible components (factors) are increasing dramatically as a result of developments in science and technology (e.g., Web-based surveys). These changes dictate the need for alternative methods that can screen and quickly identify a la...

In many quality improvement experiments, there are one or more “control factors” that can be used to determine a final product design (or manufacturing process), and one or more “environmental factors” that vary under field (or manufacturing) conditions. This paper considers applications where the product design or process design is considered to be seriously flawed if its performance is inferi...

New rank tests for interactions in factorial designs are presented and applied to some common factorial designs with repeated measures. The resulting p-values of these tests are compared, along with those obtained by parametric and randomization tests.