Handbook of Design and Analysis of Experiments (eBook, PDF)

Redaktion: Dean, Angela; Bingham, Derek; Stufken, John; Morris, Max

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 960
• Erscheinungstermin: 26. Juni 2015
• Englisch
• ISBN-13: 9781466504349
• Artikelnr.: 43975545

Autorenporträt

Angela Dean is professor emeritus in the Department of Statistics and a member of the Emeritus Academy at The Ohio State University. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. Her primary research focuses on the design of screening experiments. Max Morris is professor and chair of the Department of Statistics at Iowa State University, where he also holds a courtesy appointment in the Department of Industrial and Manufacturing Systems Engineering. He is a fellow of the American Statistical Association. His research program focuses on the design and analysis of experiments, with special emphasis on those that involve computer models. John Stufken is the Charles Wexler Professor in Statistics in the School of Mathematical and Statistical Sciences at Arizona State University. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. His primary area of research interest is the design and analysis of experiments. Derek Bingham is professor in the Department of Statistics and Actuarial Science at Simon Fraser University, Burnaby. His primary research interests lie in the design and analysis of physical and computer experiments.

Inhaltsangabe

General Principles. Designs for Linear Models. Designs Accommodating
Multiple Factor. Optimal Design for Nonlinear and Spatial Models. Computer
Experiments. Cross-Cutting Issues. Designs for Contemporary Applications.
Index.