Statistical Principles for the Design of Experiments: Applications to Real Experiments

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R. Mead (University of Reading) S. G. Gilmour (University of Southampton)

Statistical Principles for the Design of Experiments

Applications to Real Experiments

R. Mead (University of Reading), S. G. Gilmour (University of Southampton), A. Mead (University of Warwick)

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English

Cambridge University Press
13 September 2012

Probability & statistics; Mathematical modelling; Scientific equipment, experiments & techniques

Series: Cambridge Series in Statistical and Probabilistic Mathematics

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.

By: R. Mead (University of Reading), S. G. Gilmour (University of Southampton), A. Mead (University of Warwick)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Volume: 36
Dimensions: Height: 267mm, Width: 185mm, Spine: 34mm
Weight: 1.330kg
ISBN: 9780521862141
ISBN 10: 0521862140
Series: Cambridge Series in Statistical and Probabilistic Mathematics
Pages: 586
Publication Date: 13 September 2012
Audience: Professional and scholarly , Professional and scholarly , Undergraduate , Undergraduate
Format: Hardback
Publisher's Status: Active

R. Mead is Emeritus Professor of Applied Statistics at the University of Reading. S. G. Gilmour is Professor of Statistics in the Southampton Statistical Sciences Research Institute at the University of Southampton. A. Mead is Senior Teaching Fellow in the School of Life Sciences at the University of Warwick.