A Dynamic program for designing factorial experiments with budget constraints

Abstract

This paper develops a dynamic programming formulation of the factorial experimental design problem with budgetary constraints. The approach is valid for any number of factors if all possible interaction terms are assumed in the model. A specific structure involving no interaction terms (additive model) is also formulated. An example is presented along with some computational results.