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.
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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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Hardcover. Condición: 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780521862141
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Condición: New. 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. . . . . Nº de ref. del artículo: V9780521862141
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Hardback. Condición: New. 1st. 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. Nº de ref. del artículo: LU-9780521862141
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