Statistical Principles for the Design of Experiments Applications to Real Experiments 1st Edition by R Mead, S G Gilmour, A Mead ISBN 0521862140 9780521862141

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Product details:

ISBN 10: 0521862140

ISBN 13: 9780521862141 

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

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.

Table of contents:

Frontmatter

Contents

Preface

Part I – Overture

Introduction

Elementary ideas of blocking: the randomised complete block design

Elementary ideas of treatment structure

General principles of linear models for the analysis of experimental data

Part II – First subject

Experimental units

Replication

Blocking and control

Multiple blocking systems and cross-over designs

Multiple levels of information

Randomisation

Restricted randomisation

Part III – Second subject

Experimental objectives, treatments and treatment structures

Factorial structure and particular forms of effects

Fractional replication

Incomplete block size for factorial experiments

Quantitative factors and response functions

Multifactorial designs for quantitative factors

Split-unit designs

Part IV – Coda

Multiple experiments and new variation

Sequential aspects of experiments and experimental programmes

Designing useful experiments

References

Index

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Tags: R Mead, S G Gilmour, A Mead, Statistical, Principles, Design, Experiments, Applications, Real Experiments