Statistical Principles for the Design of Experiments

R. Mead, S. G. Gilmour, A. Mead

ISBN 10: 0521862140 / ISBN 13: 9780521862141

Published by Cambridge University Press, GB, 2012

About this Item

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.

Seller Inventory # LU-9780521862141

Bibliographic Details

• Title: Statistical Principles for the Design of Experiments
• Publisher: Cambridge University Press, GB
• Publication Date: 2012
• Language: English
• ISBN 10: 0521862140
• ISBN 13: 9780521862141
• Binding: Hardback
• Edition: 1st.
• Condition: New
• Dimensions: 7.25W x 1.25H x 10.5D inches 7.25 inches width by 1.25 inches height by 10.5 inches depth
• Weight: 1330 grams

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.