The sequential generation of multiresponse d-optimal designs when the variance-covariance matrix is not known

Manel Cooray-Wijesinha; Andre' I. Khuri

doi:10.1080/03610918708812589

The sequential generation of multiresponse d-optimal designs when the variance-covariance matrix is not known

Manel Cooray-Wijesinha
, Andre' I. Khuri

Penn State York

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

The construction of D-optimal designs for multiresponse experiments was considered by Fedorov (1972, Ch. 5). His algorithm required that the variance-covariance matrix, E, of the responses be known. This is rarely the case in practice. The primary objective of this paper is to develop a sequential procedure for the construction of multiresponse designs when Σ is not known. Several numerical examples are given to illustrate this procedure.

Original language	English (US)
Pages (from-to)	239-259
Number of pages	21
Journal	Communications in Statistics - Simulation and Computation
Volume	16
Issue number	1
DOIs	https://doi.org/10.1080/03610918708812589
State	Published - Jan 1 1987

All Science Journal Classification (ASJC) codes

Statistics and Probability
Modeling and Simulation

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10.1080/03610918708812589

Cite this

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abstract = "The construction of D-optimal designs for multiresponse experiments was considered by Fedorov (1972, Ch. 5). His algorithm required that the variance-covariance matrix, E, of the responses be known. This is rarely the case in practice. The primary objective of this paper is to develop a sequential procedure for the construction of multiresponse designs when Σ is not known. Several numerical examples are given to illustrate this procedure.",

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The sequential generation of multiresponse d-optimal designs when the variance-covariance matrix is not known

Abstract

All Science Journal Classification (ASJC) codes

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