Numerical optimization in the presence of random variability. The single factor case

Abstract

This paper gives procedures for finding optimum conditions for a single factor, when the response is subject to random error. A new procedure is described and is compared with an existing procedure. It is difficult to get extensive analytical results and the main results are obtained by computer simulation.