1 citations · 1 across the 5 of their papers we have counts for
5 papers
Efficient and Robust Block Designs for Order-of-Addition Experiments
Chang-Yun Lin
Designs for Order-of-Addition (OofA) experiments have received growing attention due to their impact on responses based on the sequence of component addition. In certain cases, the…
Generalized Bayesian D criterion for single-stratum and multistratum designs
Chang-Yun Lin
DuMouchel and Jones (1994) proposed the Bayesian D criterion by modifying the D-optimality approach to reduce dependence of the selected design on an assumed model. This criterion…
Robust split-plot designs for model misspecification
Chang-Yun Lin
Many existing methods for constructing optimal split-plot designs, such as D-optimal designs, only focus on minimizing the variances and covariances of the estimation for the fitte…
Robust designs to model uncertainty with high estimation and prediction efficiency
Chang-Yun Lin
Alphabetic optimality criteria, such as the , , and criteria, require specifying a model to select optimal designs. They are not model free and the optimal designs select…
Minimum Contamination and -Aberration Criteria for Screening Quantitative Factors
Po Yang, Chang-Yun Lin
Tang and Xu [Biometrika 101 (2014) 333-350] applied the minimum -aberration criterion to selecting optimal designs for screening quantitative factors. They provided a statistica…