Experiments: planning, analysis, and optimization

The past two-and-a-half decades has seen major progress in the use of statistically designed experiments for product and process improvement. In this revised work, the authors, highly recognized researchers in the field, introduce some of the newest discoveries, and shed further light on existing ones, in the design and analysis of experiments as well as their applications to system optimization, robustness, and treatment comparison in the diverse fields of engineering, technology, agriculture, biology, and medicine. Drawing from examples from their impressive roster of industrial clients (including GM, Ford, AT&T, Lucent Technologies, and Chrysler), the authors modernize accepted methodologies, while refining many cutting-edge topics in a single, easily accessible source. These include robust parameter, reliability improvement, analysis of nonnormal data, analysis of experiments with complex aliasing, multilevel designs,minimum aberration designs, and orthogonal arrays.

• ISBN: 978-0-471-69946-0
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 752
• Fecha Publicación: 21/08/2009
• Nº Volúmenes: 1
• Idioma: Inglés