Authors:
- Second edition includes new material on screening experiments and analysis of mixed models, a new chapter on computer experiments, added “Using R” sections, updated SAS output, and use of SAS Proc Mixed
- Presents a step-by-step guide to design, including a planning checklist that emphasizes practical considerations
- Explains all the basics of analysis: estimation of treatment contrasts and analysis of variance, while also applying these in a wide variety of settings
- Utilizes data drawn from real experiments
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Texts in Statistics (STS)
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Table of contents (20 chapters)
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Front Matter
About this book
This new, second edition includes
- an additional chapter on computer experiments
- additional "Using R” sections at the end of each chapter to illustrate R code and output
- updated output for all SAS programs and use of SAS Proc Mixed
- new material on screening experiments and analysis of mixed models
Reviews
“The textbook provides a practically oriented version of design and analysis of experiments. The corresponding methods are illustrated by means of numerous simple experiments. Thus, the models and methods are equipped with many examples, exercises, numerical results and related tables and figures. ... The present volume can be recommended as textbook for lectures on models and methods of experimental design as well as handbook for use in practice.” (Kurt Marti, zbMATH 1383.62001, 2018)
Authors and Affiliations
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Ohio State University, Columbus, USA
Angela Dean
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Wright State University, Dayton, USA
Daniel Voss
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Lancaster, USA
Danel Draguljić
About the authors
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.
Bibliographic Information
Book Title: Design and Analysis of Experiments
Authors: Angela Dean, Daniel Voss, Danel Draguljić
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/978-3-319-52250-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-52248-7Published: 13 April 2017
eBook ISBN: 978-3-319-52250-0Published: 05 April 2017
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 2
Number of Pages: XXV, 840
Number of Illustrations: 94 b/w illustrations, 52 illustrations in colour
Topics: Statistical Theory and Methods, Probability Theory and Stochastic Processes, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences