Robust designs

DOI10.1093/biomet/62.2.347zbMath0312.62061OpenAlexW4242185802MaRDI QIDQ4070166

G. E. P. Box, Norman R. Draper

Publication date: 1975

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/62.2.347

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Optimal statistical designs (62K05)

Related Items

Description and evaluation of a nested cube experimental design, Block Designs Robust Against the Presence of an Aberration in a Treatment-Control Setup, A class of composite designs for response surface methodology, On the robustness of the optimum balanced \(2^ m\) factorial designs of resolution V (given by Srivastava and Chopra) in the presence of outliers, Robustness of row-column designs, Statistics for discovery, On robustness of \(2^ m \times 3^ n\) fractional factorial resolution III designs against the unavailability of data, Small Robust Response-Surface Designs for Quantitative and Qualitative Factors, Orthogonal blocking of response surface split-plot designs, Robustness of classical and optimal designs to missing observations, Factorial and response surface designs robust to missing observations, Constrained optimal designs, Response surface designs robust to missing observations, An investigation of first-order and second-order designs for extrapolation outside a hypersphere, Some sequential third order response surface designs, Equi-information robust designs: Which designs are possible?, Factorial designs robust against the presence of an aberration, Nonexistence of robust designs against presence of more than one outlier in a restricted class, Central composite designs for estimating the optimum conditions for a second-order model, Robustness to missing observation and optimalities of response surface designs with regular and complex structure, On robustness of optimal balanced resolution V plans, Reference values for cook's distance, Optimality in presence of damaged observations, Some new augmented fractional Box–Behnken designs, A monte carlo study of robust and least squares response surface methods, Robust designs based on auxiliary information, New 3-level response surface designs constructed from incomplete block designs, Response surface design evaluation and comparison, Discussion: ``Response surface design evaluation and comparison by Christine M. Anderson-Cook, Connie M. Borror, Douglas C. Montgomery, Discussion of ``Response surface design evaluation and comparison by Christine M. Anderson-Cook, Connie M. Borror, Douglas C. Montgomery, A discussion of ``Response surface design evaluation and comparison, Sequential asymmetric third order rotatable designs (SATORDs), Designs Robust against Violation of Normality Assumption in the Standard F-test, Designs to guard against outliers in the présence or absence of model bias, A class of treatment assignment rules for sequential experiments, Generalization of simulation results. Practicality of statistical methods, Robustness of some balanced block designs, Robustness of balanced fractional \(2^ m\) factorial designs derived from simple arrays, The robustness and optimality of response surface designs, On the robustness of balanced fractional \(2^ m\) factorial designs of resolution \(2l+1\) in the presence of outliers, Constrained optimal designs for regressiom models, Representing spatial uncertainty using distances and kernels, Two-strata rotatability in split-plot central composite designs, Efficient response surface designs for the second-order multivariate polynomial model robust to missing observation, Discussion of the paper «The foundation of experimental design and observation» by H. P. Wynn, The Robustness of experimental designs against errors in the factor levels, Information in an observation in robust designs, Designs Robust Against the Presence of an Aberration in a Diallel Cross Design Setup, Minimization of model inadequacy when observations subject to shift in means and variances, Robust designs for first-order multiple design multivariate models, Small response surface designs for metamodel estimation