Optimal Design of Experiments

 Preface
Chapter 1: Experimental Designs in Linear Models
Chapter 2: Optimal Designs for Scalar Parameter Systems
Chapter 3: Information Matrices
Chapter 4: Loewner Optimality
Chapter 5: Real Optimality Criteria
Chapter 6: Matrix Means; Chapter 7: The General Equivalence Theorem
Chapter 8: Optimal Moment Matrices and Optimal Designs
Chapter 9: D-, A-, E-, T-Optimality; Chapter 10: Admissibility of Moment and Information Matrices
Chapter 11: Bayes Designs and Discrimination Designs
Chapter 12: Efficient Designs for Finite Sample Sizes
Chapter 13: Invariant Design Problems
Chapter 14: Kiefer Optimality
Chapter 15: Rotatability and Response Surface Designs
Comments and References
Biographies
Bibliography
Index