candidate-set-free algorithm for generating D-optimal split-plot designs - Jones, Bradley; Goos, Peter (Applied statistics, 2007)
Keywords: Algorithms; Applications; Candidates; Combinatorics; Combinatorics. Ordered structures; Covariance matrices; D-optimality; Design; Design efficiency; Designs and configurations; Estimation; Exact sciences and technology; Exchange algorithm; Experiment design; Experimental design; Factorial design; Factorials; Hard-to-change factors; Interaction terms; Mathematical models; Mathematics; Mica; Modeling; Multistratum design; Original; Probability and statistics; Regression analysis; Sample size; Sampling; Sampling theory, sample surveys; Sciences and techniques of general use; Specification; Split-plot design; Statistical methods; Statistical models; Statistics; Studies; Tailor-made design; Usefulness; Polynomial; Sample size; Polynomial method; Optimal D design; Linear model; Fixed effect model; Split plot design; Optimal algorithm; Prior distribution; Linear regression; Interaction; Statistical estimation; Fixed effect; Statistics; Statistical regression; Hard-to-change factors; Multistratum design; Regression model; Experimental design; Exchange algorithm; Statistical model; D-optimality; Optimal design(statistics); Tailor-made design; Application; Split-plot design