The Design of Experiments
Statistical Principles for Practical Applications
By (author) Roger Mead
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Design of Experiments by Roger Mead
Book DescriptionIn all the experimental sciences, good design of experiments is crucial to the success of research. Well-planned experiments can provide a great deal of information efficiently and can be used to test several hypotheses simultaneously. This book is about the statistical principles of good experimental design and is intended for all applied statisticians and practising scientists engaged in the design, implementation and analysis of experiments. Professor Mead has written the book with the emphasis on the logical principles of statistical design and employs a minimum of mathematics. Throughout he assumes that the large-scale analysis of data will be performed by computers and he is thus able to devote more attention to discussions of how all of the available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from medicine, agriculture, industry and other disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design of experiments can make to a scientific project.
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Book DetailsISBN: 9780521287623
(228mm x 152mm x 36mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 26-Jul-1990
Country of Publication: United Kingdom
Books By Author Roger Mead
Statistical Principles for the Design of Experiments, Hardback (September 2012)
Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines.
Statistical Methods in Agriculture and Experimental Biology, Paperback (August 2002)» View all books by Roger Mead
Offers coverage of the statistical ideas and methods useful to the advancement of students in agriculture or experimental biology. Covering fundamental methodology, this book also includes advanced topics that help develop an appreciation of the breadth of statistical methodology now available.
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