This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in
Design and Analysis of Experiments
β Scribed by Angela Dean, Daniel Voss, Danel DraguljiΔ
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 852
- Series
- Springer Texts in Statistics
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Subjects
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π SIMILAR VOLUMES
Completely revised and expanded, this Third Edition maintains a balance between design and analysis topics, but includes new material and numerous updated examples. Added, expanded and reorganized chapters provide more in-depth treatment of 2k factorial and fractional factorial designs; brand new to
<p>Our initial motivation for writing this book was the observation from various students that the subject of design and analysis of experiments can seem like βa bunch of miscellaneous topics. βWebelievethattheidenti?cationoftheobjectivesoftheexperimentandthepractical considerations governing the de
Design and Analysis of Experiments provides a rigorous introduction to product and process design improvement through quality and performance optimization. Clear demonstration of widely practiced techniques and procedures allows readers to master fundamental concepts, develop design and analysis ski
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 c
The eighth edition of this best selling text continues to help senior and graduate students in engineering, business, and statistics-as well as working practitioners-to design and analyze experiments for improving the quality, efficiency and performance of working systems. The eighth edition of Des