Modern Experimental Design (eBook)
624 Seiten
John Wiley & Sons (Verlag)
978-0-470-07434-3 (ISBN)
design
Using current research and discussion of the topic along with
clear applications, Modern Experimental Design highlights
the guiding role of statistical principles in experimental design
construction. This text can serve as both an applied introduction
as well as a concise review of the essential types of experimental
designs and their applications.
Topical coverage includes designs containing one or multiple
factors, designs with at least one blocking factor, split-unit
designs and their variations as well as supersaturated and
Plackett-Burman designs. In addition, the text contains extensive
treatment of:
* Conditional effects analysis as a proposed general method of
analysis
* Multiresponse optimization
* Space-filling designs, including Latin hypercube and uniform
designs
* Restricted regions of operability and debarred
observations
* Analysis of Means (ANOM) used to analyze data from various
types of designs
* The application of available software, including Design-Expert,
JMP, and MINITAB
This text provides thorough coverage of the topic while also
introducing the reader to new approaches. Using a large number of
references with detailed analyses of datasets, Modern
Experimental Design works as a well-rounded learning tool for
beginners as well as a valuable resource for practitioners.
THOMAS P. RYAN, PhD, has served on the Editorial Review Board of the Journal of Quality Technology since 1990. He is the author of three other books published by Wiley, and is an elected Fellow of the American Statistical Association, the American Society for Quality, and the Royal Statistical Society. He is currently teaching advanced courses on design of experiments and engineering statistics at statistics.com, and serves as a consultant to Cytel Software Corporation.
"A good introduction to statistical design of experiments, covering
a wide variety of topics in a well readable and structured
way." (Statistical Papers 2008)
"Modern Experimental Design is a must-have reference for anyone
who will be designing experiments or for statisticians interested
in remaining on the leading edge of this important area."
(Journal of the American Statistical Association)
"This attractive text is written in a precise style that
interconnects and builds on discussion, examples, and methods from
chapter to chapter. Especially pleasant are the care and attention
devoted to details. The comprehensive and easy-to-read style of
writing suggests that statistics is fun and exploratory."
(Computing Reviews, 2008)
"... this book will prove to be a boon for advances in
experimental design." (Zentralblatt MATH, 2007)
"...the author's wealth of knowledge is immediately
evident...an excellent expose concerning the actual statistical
planning or 'design' of experiments." (Biometrics, September
2007)
"A very interesting and useful book...highly recommended."
(CHOICE, August 2007)
"It is definitely nice to have such a book in the library."
(International Statistical Review, 2007)
Erscheint lt. Verlag | 20.8.2007 |
---|---|
Reihe/Serie | Wiley Series in Probability and Statistics | Wiley Series in Probability and Statistics |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Technik | |
Schlagworte | Engineering statistics • Experimental Design • Methoden der Daten- u. Stichprobenerhebung • Qualitätssteuerung • Qualitätssteuerung • Statistics • Statistik • Statistik in den Ingenieurwissenschaften • Survey Research Methods & Sampling • Technische Statistik • Versuchsplanung |
ISBN-10 | 0-470-07434-5 / 0470074345 |
ISBN-13 | 978-0-470-07434-3 / 9780470074343 |
Haben Sie eine Frage zum Produkt? |
Größe: 3,9 MB
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