Professor Tsai’s research interest is experimental design. He mainly focuses on the construction of design and the development of analysis tools. The current research topics are as follow:
1.Generalized Fiducial Inference for Normal Mixture Models
2. A Systematic Approach to the Construction of Sliced Orthogonal Arrays
3. Design and Analysis of Blocked Two-Level Factorial Experiments with Partial Replication
4. A New Construction of Nested Orthogonal Arrays
5. Robust Designs for Two-Level Main-Effect Plans