English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

This paper studies optimal designs for linear regression models withcorrelated effects for single responses. We introduce the concept of rhombicdesign to reduce the computational complexity and find a semi-algebraicdescription for the D-optimality of a rhombic design via the Kiefer-Wolfowitzequivalence theorem. Subsequently, we show that the structure of an optimalrhombic design depends directly on the correlation structure of the randomcoefficients.

Optimality regions for designs in multiple linear regression models with correlated random coefficients