Design and Analysis of Experiments (Springer Texts in Statistics)

Dean, Angela; Voss, Daniel; DraguljiÄ , Danel

ISBN 10: 3319522485 / ISBN 13: 9783319522487

Editore: Springer (edition 2nd ed. 2017), 2017

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Codice articolo 3319522485-8-1

Dati bibliografici

• Titolo: Design and Analysis of Experiments (Springer Texts in Statistics)
• Editore: Springer (edition 2nd ed. 2017)
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3319522485
• ISBN 13: 9783319522487
• Rilegatura: Paperback
• Edizione: 2nd ed. 2017.
• Condizione: Very Good

Descrizione articolo

Riassunto

This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment. Data sets are taken from real experiments and sample SAS programs are included with each chapter. Experimental design is an essential part of investigation and discovery in science; this book will serve as a modern and comprehensive reference to the subject.

Informazioni sull?autore

Angela Dean, PhD, is Professor Emeritus of Statistics and a member of the Emeritus Academy at The Ohio State University, Columbus, Ohio. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics, and a former chair of the Section on Physical and Engineering Sciences of the American Statistical Association. Her research interests include design of screening and computer experiments.

Daniel Voss, PhD,  is Professor Emeritus of Mathematics and Statistics at Wright State University, Dayton, Ohio. He is a former Interim Dean of the College of Science and Mathematics and Interim Director of the Statistical Consulting Center at WSU. His research interests include the analysis of saturated fractional factorial experiments, and the equivalence of hypothesis testing and confidence interval estimation.

Danel Draguljic, PhD, is Assistant Professor of Mathematics at Franklin & Marshall College, Lancaster, Pennsylvania. His research interests include design of screening experiments, design of computer experiments, and statistics education.