Optimal designs for dual response polynomial regression models

Fu Chuen Chang, Mong Na Lo Huang, Dennis K.J. Lin, Huie Ching Yang

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


In this paper, the D- and Ds-optimal design problems in linear regression models with a one-dimensional control variable and a k-dimensional response variable are considered. The response variables are correlated with a known covariance matrix. Some of the D- and Ds-optimal designs with polynomial models for k=2 are found explicitly. It is noted that the number of support points for the D- and Ds-optimal designs highly depend on the correlation between the two response variables except on some special cases.

Original languageEnglish (US)
Pages (from-to)309-322
Number of pages14
JournalJournal of Statistical Planning and Inference
Issue number1-2
StatePublished - Feb 2001

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics


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