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Mathematische Operationsforschung und Statistik Volume 5, 1974 - Issue 4-5
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Original Articles

Experimental design in a class of models

Elisabeth Läuter Zentralinstitut für Mathematik, Mechanik der Akademie der, Mohrenstraße 39, Wissenschaften der, DDR 108, Berlin
Pages 379-398 | Published online: 27 Jun 2007

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Siddhartha Chakraborty, Ritwik Bhattacharya & Biswabrata Pradhan. (2024) On the application of compound optimal design strategy in progressively type-II censored life-testing experiments. Quality Engineering 0:0, pages 1-9.
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Junpeng Li, Guanghui Li & Chongqi Zhang. (2024) Weighted R-efficiency optimal design for experiments with mixture. Communications in Statistics - Theory and Methods 53:4, pages 1241-1256.
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Weng Kee Wong & Julie Zhou. (2023) Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives. Journal of Computational and Graphical Statistics 32:2, pages 744-753.
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Siddhartha Chakraborty, Ritwik Bhattacharya & Biswabrata Pradhan. (2023) Cumulative entropy of progressively type-II censored order statistics and associated optimal life testing-plans. Statistics 57:1, pages 161-174.
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Muhammad Zeeshan Babar & Marco Baglietto. (2021) Optimal feedback input design for dynamic nonlinear systems. International Journal of Control 94:8, pages 2264-2281.
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Paul Kristoffersen & Byran J. Smucker. (2020) Model-robust design of mixture experiments. Quality Engineering 32:4, pages 663-675.
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Ling Leng & Wei Zhu. (2020) Compound Regression and Constrained Regression: Nonparametric Regression Frameworks for EIV Models. The American Statistician 74:3, pages 226-232.
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Holger Dette, Roman Guchenko & Viatcheslav B. Melas. (2017) Efficient Computation of Bayesian Optimal Discriminating Designs. Journal of Computational and Graphical Statistics 26:2, pages 424-433.
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Byran J. Smucker & Nathan M. Drew. (2015) Approximate Model Spaces for Model-Robust Experiment Design. Technometrics 57:1, pages 54-63.
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Christopher C. Drovandi, James M. McGree,Anthony N. Pettitt. (2014) A Sequential Monte Carlo Algorithm to Incorporate Model Uncertainty in Bayesian Sequential Design. Journal of Computational and Graphical Statistics 23:1, pages 3-24.
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William Li, Christopher J. Nachtsheim, Ke Wang, Robert Reul & Mark Albrecht. (2013) Conjoint Analysis and Discrete Choice Experiments for Quality Improvement. Journal of Quality Technology 45:1, pages 74-99.
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ByranJ. Smucker, Enrique del Castillo & JamesL. Rosenberger. (2012) Model-Robust Two-Level Designs Using Coordinate Exchange Algorithms and a Maximin Criterion. Technometrics 54:4, pages 367-375.
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AnthonyC. Atkinson. (2012) Optimum Experimental Designs for Choosing Between Competitive and Non Competitive Models of Enzyme Inhibition. Communications in Statistics - Theory and Methods 41:13-14, pages 2283-2296.
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D.C. Woods & S.M. Lewis. (2011) Continuous Optimal Designs for Generalized Linear Models under Model Uncertainty. Journal of Statistical Theory and Practice 5:1, pages 137-145.
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Vincent Agboto, William Li & Christopher Nachtsheim. (2011) A Comparison of Three Approaches for Constructing Robust Experimental Designs. Journal of Statistical Theory and Practice 5:1, pages 1-11.
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Bradley Jones & Christopher J. Nachtsheim. (2011) Efficient Designs With Minimal Aliasing. Technometrics 53:1, pages 62-71.
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Byran J. Smucker, Enrique Del Castillo & James L. Rosenberger. (2011) Exchange Algorithms for Constructing Model-Robust Experimental Designs. Journal of Quality Technology 43:1, pages 28-42.
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Pi-Wen Tsai & Steven G. Gilmour. (2010) A General Criterion for Factorial Designs Under Model Uncertainty. Technometrics 52:2, pages 231-242.
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D. C. Woods. (2010) Robust designs for binary data: applications of simulated annealing. Journal of Statistical Computation and Simulation 80:1, pages 29-41.
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ViatcheslavB. Melas & YuryM. Staroselskiy. (2008) D-Efficient Bayesian Designs for a Class of Nonlinear Models. Journal of Statistical Theory and Practice 2:4, pages 569-587.
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D. C Woods, S. M Lewis, J. A Eccleston & K. G Russell. (2006) Designs for Generalized Linear Models With Several Variables and Model Uncertainty. Technometrics 48:2, pages 284-292.
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Francis G Pascual. (2006) Accelerated Life Test Plans Robust to Misspecification of the Stress—Life Relationship. Technometrics 48:1, pages 11-25.
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Anthony C Atkinson. (2005) Robust Optimum Designs for Transformation of the Responses in a Multivariate Chemical Kinetic Model. Technometrics 47:4, pages 478-487.
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Holger Dette & Robert Kwiecien. (2005) Finite sample performance of sequential designs for model identification. Journal of Statistical Computation and Simulation 75:6, pages 477-495.
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Francis G Pascual & Grace Montepiedra. (2003) Model-Robust Test Plans With Applications in Accelerated Life Testing. Technometrics 45:1, pages 47-57.
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E. Rafajłowicz & R. Schwabe. (2003) Experimental Design for (Semi-)Local Regression. Communications in Statistics - Theory and Methods 32:5, pages 1035-1055.
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Francis Pascual & Grace Montepiedra. (2002) On minimax designs when there are two candidate models. Journal of Statistical Computation and Simulation 72:11, pages 841-862.
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William Li & ChristopherJ. Nachtsheim. (2000) Model-Robust Factorial Designs. Technometrics 42:4, pages 345-352.
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Grace Montepiedra & Arthur B. Yeh. (1998) A two-stage strategy for the construction of d-optimal experimental designs. Communications in Statistics - Simulation and Computation 27:2, pages 377-401.
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Merlise Clyde & Kathryn Chaloner. (1996) The Equivalence of Constrained and Weighted Designs in Multiple Objective Design Problems. Journal of the American Statistical Association 91:435, pages 1236-1244.
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A.C. Atkinson & R.D. Cook. (1995) D-Optimum Designs for Heteroscedastic Linear Models. Journal of the American Statistical Association 90:429, pages 204-212.
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Holger Dette. (1995) Experimental Design. Statistics 26:2, pages 153-161.
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R. Dennis Cook & Weng Kee Wong. (1994) On the Equivalence of Constrained and Compound Optimal Designs. Journal of the American Statistical Association 89:426, pages 687-692.
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Friedrich Pukelsheim & JamesL. Rosenberger. (1993) Experimental Designs for Model Discrimination. Journal of the American Statistical Association 88:422, pages 642-649.
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Probal Chaudhuri & PerA. Mykland. (1993) Nonlinear Experiments: Optimal Design and Inference Based on Likelihood. Journal of the American Statistical Association 88:422, pages 538-546.
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Holger Dette. (1993) Bayesian D-Optimal and Model Robust Designs in Linear Regression Models. Statistics 25:1, pages 27-46.
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Ian Ford, D.M. Titterington & ChristosP. Kitsos. (1989) Recent Advances in Nonlinear Experimental Design. Technometrics 31:1, pages 49-60x.
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Kathryn Chaloner. (1989) Bayesian design for estimating the turning point of a quadratic regression. Communications in Statistics - Theory and Methods 18:4, pages 1385-1400.
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Carl M.-S. Lee. (1987) Constrained optimal designs for regressiom models. Communications in Statistics - Theory and Methods 16:3, pages 765-783.
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DavidM. Steinberg & WilliamG. Hunter. (1984) Experimental Design: Review and Comment. Technometrics 26:2, pages 71-97.
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R. Dennis Cook & ChristopherJ. Nachtsheim. (1982) Model Robust, Linear-Optimal Designs. Technometrics 24:1, pages 49-54.
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D.M. Titterington. (1980) Aspects of Optimal Design in Dynamic Systems. Technometrics 22:3, pages 287-299.
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Andrej Pázman. (1980) Some features of the optimal design theory – a survey. Series Statistics 11:3, pages 415-446.
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H. Bandemer. (1980) Problems in foundation and use of optimal experimental design in regression models. Series Statistics 11:1, pages 89-113.
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Peter D. H. Hill. (1978) A Review of Experimental Design Procedures for Regression Model Discrimination. Technometrics 20:1, pages 15-21.
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S. Nagel. (1978) Goodness of exact experimental designs with respect to a certain family of criteria. Series Statistics 9:4, pages 519-523.
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E. Läuter. (1976) Optimal multipurpose designs for regression models. Mathematische Operationsforschung und Statistik 7:1, pages 51-68.
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A.C. Atkinson. (1975) Vorträge auf der ersten sommersehule über probleme der modellwahl und parameterschätzung in der regressions-analyse, april 1974 in zinnowitz/usedom, DDR. Mathematische Operationsforschung und Statistik 6:2, pages 253-267.
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. (1974)  . Mathematische Operationsforschung und Statistik 5:7-8, pages 625-636.
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