Title: Statistical Principles for the Design of Experiments: Applications to Real Experiments
Publisher: Cambridge Univ Pr
Publication Date: 2012
Language: English
ISBN 10: 0521862140
ISBN 13: 9780521862141
Binding: Hardcover
Condition: Brand New
Weight: 1.33 kilograms

About this title

Synopsis

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.

About the Authors

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.

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