3 papers
stat.ME2019
R-optimal designs for multi-response regression models with multi-factors
Pengqi Liu, Lucy Gao, Julie Zhou
We investigate R-optimal designs for multi-response regression models with multi-factors, where the random errors in these models are correlated. Several theoretical results are de…
stat.ME2019
Minimax D-optimal designs for multivariate regression models with multi-factors
Lucy L. Gao, Julie Zhou
In multi-response regression models, the error covariance matrix is never known in practice. Thus, there is a need for optimal designs which are robust against possible misspecific…
stat.ME2016
Robust designs for experiments with blocks
Rena K. Mann, Roderick Edwards, Julie Zhou
For experiments running in field plots or over time, the observations are often correlated due to spatial or serial correlation, which leads to correlated errors in a linear model…