Dewey Edition22
Reviews"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)
SynopsisEffective 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., 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., This title demonstrates the ways in which statistical methods can be applied successfully. It features examples from many industries including chemicals, plastics, oils, nuclear, food, drink, lighting, water and pharmaceuticals., 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.
LC Classification NumberQ182.3