ABSTRACT
This chapter discusses methods for finding target allocations of the treatments (ei-
ther as finite sample allocations, or as asymptotic proportions to be approximated in
a large sample setup) that achieve a good trade-off between different experimental
goals. This is different from Chapters 2 and 4, in which at each step the allocation
probability is the result of a compromise between inferential optimality and random-
ness and/or ethical demands.
