Optimal designs for parallel models with correlated responses

Mong Na Lo Huang, Ray-Bing Chen, Chun Sui Lin, Weng Kee Wong

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

We consider a parallel linear model with correlated dual responses on a symmetric compact design region and construct locally D-optimal designs for estimating the unknown parameters in the model, and locally optimal designs for estimating the location shift parameter. The D-optimal designs for the additive model are invariant under linear transformation of the design space but locally optimal designs for estimating the location shift do not share this property. The latter optimal designs depend on the correlation between the dual responses in an interesting and sensitive way.

Original languageEnglish
Pages (from-to)121-133
Number of pages13
JournalStatistica Sinica
Volume16
Issue number1
Publication statusPublished - 2006 Jan 1

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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    Huang, M. N. L., Chen, R-B., Lin, C. S., & Wong, W. K. (2006). Optimal designs for parallel models with correlated responses. Statistica Sinica, 16(1), 121-133.