ABSTRACT

This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.

part |2 pages

Section I General Principles

part |2 pages

Section II: Designs for Linear Models

part |2 pages

Section III: Designs Accommodating Multiple Factors

part |2 pages

Section IV: Optimal Design for Nonlinear and Spatial Models

part |2 pages

Section V: Computer Experiments

part |2 pages

Section VI: Cross-Cutting Issues