Statistical Principles for the Design of Experiments

Applications to Real Experiments

Nonfiction, Science & Nature, Mathematics, Statistics, Health & Well Being, Medical
Cover of the book Statistical Principles for the Design of Experiments by R. Mead, S. G. Gilmour, A. Mead, Cambridge University Press
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Author: R. Mead, S. G. Gilmour, A. Mead ISBN: 9781139931359
Publisher: Cambridge University Press Publication: September 13, 2012
Imprint: Cambridge University Press Language: English
Author: R. Mead, S. G. Gilmour, A. Mead
ISBN: 9781139931359
Publisher: Cambridge University Press
Publication: September 13, 2012
Imprint: Cambridge University Press
Language: English

This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all 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 real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all 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 real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.

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