Effective Experimentation (eBook)

For Scientists and Technologists

Richard Boddy, Gordon Laird Smith (Autoren)

eBook Download: PDF

2010 | 1. Auflage
272 Seiten
John Wiley & Sons (Verlag)
978-0-470-66664-7 (ISBN)

Infos

Effective Experimentation is a practical book on how to
design and analyse experiments. Each of the methods are introduced
and illustrated through real world scenario drawn from industry or
research. Formulae are kept to a minimum to enable the reader to
concentrate on how to apply and understand the different methods
presented.

The book has been developed from courses run by Statistics
for Industry Limited during which time more than 10,000
scientists and technologists have gained the knowledge and
confidence to plan experiments successfully and to analyse their
data. Each chapter starts with an example of a design obtained from
the authors' experience. Statistical methods for analysing
data are introduced, followed, where appropriate, by a discussion
of the assumptions of the method and effectiveness and limitations
of the design.

The examples have been chosen from many industries including
chemicals, oils, building materials, textiles, food, drink,
lighting, water, pharmaceuticals, electronics, paint, toiletries
and petfoods.

This book is a valuable resource for researchers and industrial
statisticians involved in designing experiments.
Postgraduates studying statistics, engineering and mathematics will
also find this book of interest.

Autor

Richard Boddy, Director of S4i Limited, Co-founder of Statistics for Industry and Director for 30 years and has lectured on more than 300 courses to scientists and technologists from industry. Gordon Laird Smith, Consultant Statistician, Director of Statistics for Industry, developing and presenting training courses to scientists and technologists of all disciplines at all levels.

Rezensionen

"Academics and postgraduate students who already have some
familiarity with standard data analysis techniques will find much
to like in this book. It highlights practical considerations rarely
discussed in more theoretical works, such as how best to
efficiently explore parameter spaces when the optimum (theoretical)
experimental design is not usable (if, say, the required raw
materials are simply too expensive). I found at least one
thought-provoking insight in nearly every chapter: the
industry-focussed approach brings a genuinely different viewpoint."
(Reviews, December 2010)

"There is much explanatory verbiage to mathematical content that
will be appreciated by the beginner. The writing style is clear and
concise, as one would expect from a text derived from years of
teaching industrial scientists . . . this text is recommended to
the beginner and other excellent texts." (Scientific Computing, 1
August 2010)

Produkt-Details

• Erscheint lt. Verlag: 18.6.2010
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Experimental Design • Statistics • Statistik • Versuchsplanung
• ISBN-10: 0-470-66664-1 / 0470666641
• ISBN-13: 978-0-470-66664-7 / 9780470666647