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Statistical Principles for the Design of Experiments: Applications to Real Experiments (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36) - Hardcover
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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2012
- ISBN 10 0521862140
- ISBN 13 9780521862141
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages586
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Statistical Principles for the Design of Experiments: Applications to Real Experiments (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36)
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Cambridge University Press (edition 1), 2012
ISBN 10: 0521862140
ISBN 13: 9780521862141
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Statistical Principles for the Design of Experiments: Applications to Real Experiments (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36)
Published by
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ISBN 10: 0521862140
ISBN 13: 9780521862141
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Statistical Principles for the Design of Experiments
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Statistical Principles for the Design of Experiments: Applications to Real Experiments (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36)
Published by
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ISBN 10: 0521862140
ISBN 13: 9780521862141
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Statistical Principles for the Design of Experiments (Hardcover)
Published by
Cambridge University Press, Cambridge, 2012
ISBN 10: 0521862140
ISBN 13: 9780521862141
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Hardcover. Condition: new. Hardcover. 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. This book focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in a variety of disciplines, including biological and physical sciences, engineering, medicine and agriculture. It contains numerous exercises and a wide range of examples drawn from real experiments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521862141
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Statistical Principles for the Design of Experiments: Applications to Real Experiments (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36)
Published by
Cambridge University Press, 2012
ISBN 10: 0521862140
ISBN 13: 9780521862141
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Statistical Principles for the Design of Experiments: Applications to Real Experiments
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Statistical Principles for the Design of Experiments: Applications to Real Experiments
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in a variety of disciplines, including biological and physical sciences, engineering, medicine and agriculture. It contains nu. Seller Inventory # 594765732
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Statistical Principles for the Design of Experiments (Hardcover)
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ISBN 10: 0521862140
ISBN 13: 9780521862141
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Hardcover. Condition: new. Hardcover. 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. This book focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in a variety of disciplines, including biological and physical sciences, engineering, medicine and agriculture. It contains numerous exercises and a wide range of examples drawn from real experiments. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521862141
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