Effective Experimentation
For Scientists and Technologists
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Beschreibung
Effective Experimentation is a practical book on how todesign and analyse experiments. Each of the methods are introducedand illustrated through real world scenario drawn from industry orresearch. Formulae are kept to a minimum to enable the reader toconcentrate on how to apply and understand the different methodspresented.
The book has been developed from courses run by Statisticsfor Industry Limited during which time more than 10,000scientists and technologists have gained the knowledge andconfidence to plan experiments successfully and to analyse theirdata. Each chapter starts with an example of a design obtained fromthe authors' experience. Statistical methods for analysingdata are introduced, followed, where appropriate, by a discussionof the assumptions of the method and effectiveness and limitationsof the design.
The examples have been chosen from many industries includingchemicals, oils, building materials, textiles, food, drink,lighting, water, pharmaceuticals, electronics, paint, toiletriesand petfoods.
This book is a valuable resource for researchers and industrialstatisticians involved in designing experiments. Postgraduates studying statistics, engineering and mathematics willalso find this book of interest.
Autor*in
Richard Boddy
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"Academics and postgraduate students who already have somefamiliarity with standard data analysis techniques will find muchto like in this book. It highlights practical considerations rarelydiscussed in more theoretical works, such as how best toefficiently explore parameter spaces when the optimum (theoretical)experimental design is not usable (if, say, the required rawmaterials are simply too expensive). I found at least onethought-provoking insight in nearly every chapter: theindustry-focussed approach brings a genuinely different viewpoint."(Reviews, December 2010)
"There is much explanatory verbiage to mathematical content thatwill be appreciated by the beginner. The writing style is clear andconcise, as one would expect from a text derived from years ofteaching industrial scientists . . . this text is recommended tothe beginner and other excellent texts." (Scientific Computing, 1August 2010)
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