Frank T. Anbari, James M. Lucas
Different methods of conducting super-efficient experiments for process improvement when there is one hard-to-change factor are discussed. It is shown how designs can be blocked to get small prediction variance and low cost. A blocked split-plot design is less expensive to run and more precise than a completely randomized design.
© 2001-2024 Fundación Dialnet · Todos los derechos reservados