01. Design and Analysis of Experiments
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Document Type
Book
Description
This textbook takes a strategic approach to the broad-reaching subject of experimental design by identifying the objectives behind an experiment and teaching practical considerations that govern design and implementation, concepts that serve as the basis for the analytical techniques covered. Rather than a collection of miscellaneous approaches, chapters build on the planning, running, and analyzing of simple experiments in an approach that results from decades of teaching the subject. In most experiments, the procedures can be reproduced by readers, thus giving them a broad exposure to experiments that are simple enough to be followed through their entire course. Outlines of student and published experiments appear throughout the text and as exercises at the end of the chapters. The authors develop the theory of estimable functions and analysis of variance with detail, but at a mathematical level that is simultaneously approachable. Throughout the book, statistical aspects of analysis complement practical aspects of design. 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
Publication Date
2017
Publisher
Springer
City
New York
Disciplines
Mathematics | Physical Sciences and Mathematics | Statistics and Probability
Repository Citation
Dean , A., Voss , D., & Draguljic , D. (2017). 01. Design and Analysis of Experiments. New York, NY: Springer.
DOI
10.1007/978-3-319-52250-0
Comments
First edition printed in 1999