Titlebook: Screening; Methods for Experime Angela Dean,Susan Lewis Book 2006 Springer-Verlag New York 2006 Medical Screening.Methodologie.Radiologiein

个人长篇演说

Factor Screening via Supersaturated Designs,xperiment. There has been a great deal of interest in the development of these designs for factor screening in recent years. A review of this work is presented, including criteria for design selection, in particular the popular E(..) criterion, and methods for constructing supersaturated designs, bo

NIP

Volatile-Oils

叙述

Prior Distributions for Bayesian Analysis of Screening Experiments,n interactions and higher-order effects exist. In this situation, the selection of subsets of active effects is a challenging problem. This chapter describes Bayesian methods for subset selection, with emphasis on the choice of prior distributions and the impact of this choice on subset selection, c

胆大

凹室

Screening for the Important Factors in Large Discrete-Event Simulation Models: Sequential Bifurcatifurcation in the presence of random noise is described and is demonstrated through a case study from the mobile telecommunications industry. The case study involves 92 factors and three related, discrete-event simulation models. These models represent three supply chain configurations of varying com

enumaerate

Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization,important variables (screening) is often crucial. Methods are described for decomposing a complex input—output relationship into effects. Effects are more easily understood because each is due to only one or a small number of input variables. They can be assessed for importance either visually or vi

Myelin

哑剧

Factor Screening via Supersaturated Designs,th combinatorial and computational. Various methods, both classical and partially Bayesian, have been suggested for the analysis of data from supersaturated designs and these are critically reviewed and illustrated. Recommendations are made about the use of supersaturated designs in practice and suggestions for future research are given.

creatine-kinase