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An algorithm to generate near D-optimal designs for multiple response surface models

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IIE Transactions

Abstract

An algorithm is proposed to generate near D-optimal designs for multiple response surface models, i.e., a first-order or second-order polynomial model for each response with cuboidal design regions. For a class of designs generated by the proposed algorithm, simulation results indicate that the designs generated are near D-optimal and do not depend on ∑. An example is given to demonstrate how multiresponse D-optimal designs can be used to provide benchmarks to other experimental designs for multiple response problems.

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Authors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, Kansas State University, 228 Durland Hall, Manhattan, KS, 66506, USA

    S. CHANG

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  1. S. CHANG
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CHANG , S. An algorithm to generate near D-optimal designs for multiple response surface models. IIE Transactions 29, 1073–1081 (1997). https://doi.org/10.1023/A:1018520923888

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