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.
TABLE OF CONTENTS
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
part |2 pages
Section VII: Design for Contemporary Applications