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

R. Mead

ISBN 10: 0521862140 / ISBN 13: 9780521862141

Published by Cambridge University Press, 2012

About this Item

Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 586 pages, 200 b/w illus. 400 tables 80 exercises. BIC Classification: PBT; PBWH; PDN. Category: (U) Tertiary Education (US: College). Dimension: 264 x 187 x 35. Weight in Grams: 1320. Applications to Real Experiments. Series: Cambridge Series in Statistical and Probabilistic Mathematics. 586 pages, 200 b/w illus. 400 tables 80 exercises. Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines. Cateogry: (U) Tertiary Education (US: College). BIC Classification: PBT; PBWH; PDN. Dimension: 264 x 187 x 35. Weight: 1328. . 2012. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780521862141

Bibliographic Details

• Title: Statistical Principles for the Design of Experiments: Applications to Real Experiments
• Publisher: Cambridge University Press
• Publication Date: 2012
• Language: English
• ISBN 10: 0521862140
• ISBN 13: 9780521862141
• Binding: Hardcover
• Condition: New

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.