Response surface methodology (RSM) is a collection of statistical design and numerical
optimization techniques used to optimize processes and product designs. The original work …

The past decade has seen rapid advances in the development of new methods for the
design and analysis of split-plot experiments. Unfortunately, the value of these designs for …

Response surface experiments often involve only quantitative factors, and the response is fit
using a full quadratic model in these factors. The term response surface implies that interest …

Quality has become an important source of competitive advantage for the modern company.
Therefore, quality control has become one of its key ac tivities. Since the control of existing …

The classic split-plot designs are unable to analyze indeterminate and uncertain data
resulting from circumstances beyond our control. To this end, proposing a generalized …

The fundamental principles of experiment design are factorization, replication,
randomization, and local control of error. In many industrial experiments, however, departure …

The design of split-plot experiments has received considerable attention during the last few
years. The goal of this article is to provide an efficient algorithm to compute D-optimal split …

We introduce a new method for generating optimal split-plot designs. These designs are
optimal in the sense that they are efficient for estimating the fixed effects of the statistical …

A culmination of the author's many years of consulting and teaching, Design and Analysis of
Experiments with SAS provides practical guidance on the computer analysis of experimental …

Split-plot designs have become increasingly popular in industrial experimentation because
some of the factors under investigation are often hard-to-change. It is well-known that the …