Design of comparative experiments
This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on th...
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| Format: | E-Book |
| Sprache: | English |
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Cambridge
Cambridge University Press
2008
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| Schriftenreihe: | Cambridge series on statistical and probabilistic mathematics
25 |
| Online-Zugang: | Volltext |
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| 520 | |a This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on the treatments applied. Most structure on the set of observational units, or on the set of treatments, can be defined by factors. This book develops a coherent framework for thinking about factors and their relationships, including the use of Hasse diagrams. These are used to elucidate structure, calculate degrees of freedom and allocate treatment subspaces to appropriate strata. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing. | ||
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| spelling | Bailey, R. Design of comparative experiments R.A. Bailey Cambridge Cambridge University Press 2008 1 Online-Ressource (xiii, 330 Seiten) txt c cr Cambridge series on statistical and probabilistic mathematics 25 This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on the treatments applied. Most structure on the set of observational units, or on the set of treatments, can be defined by factors. This book develops a coherent framework for thinking about factors and their relationships, including the use of Hasse diagrams. These are used to elucidate structure, calculate degrees of freedom and allocate treatment subspaces to appropriate strata. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing. Erscheint auch als Druck-Ausgabe 9780521683579 Erscheint auch als Druck-Ausgabe 9780521865067 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9780511611483 Volltext |
| spellingShingle | Bailey, R. Design of comparative experiments |
| title | Design of comparative experiments |
| title_auth | Design of comparative experiments |
| title_exact_search | Design of comparative experiments |
| title_full | Design of comparative experiments R.A. Bailey |
| title_fullStr | Design of comparative experiments R.A. Bailey |
| title_full_unstemmed | Design of comparative experiments R.A. Bailey |
| title_short | Design of comparative experiments |
| title_sort | design of comparative experiments |
| url | https://doi.org/10.1017/CBO9780511611483 |
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