The Optimal Design of Blocked and Split-Plot Experiments:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2002
|
| Schriftenreihe: | Lecture Notes in Statistics
164 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | This book provides a comprehensive treatment of the design of blocked and split-plot experiments, two types of experiments that are extremely popular in practice. The traget audience includes applied statisticians and academics. The optial design approach advocated in the book will help applied statisticians from industry, medicine, agriculture, chemistry, and many other fields of study in setting up tailor-made experiments. This is illustrated by a number of examples. The book also contains a theoretical background, a thorough review of the recent work in the area of blocked and split-plot experiments, and a number of interesting theoretical results |
| Beschreibung: | 1 Online-Ressource (XIII, 264p. 1 illus) |
| ISBN: | 9781461300519 9780387955155 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4613-0051-9 |
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Datensatz im Suchindex
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| discipline | Mathematik |
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| format | Electronic eBook |
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| isbn | 9781461300519 9780387955155 |
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| spelling | Goos, Peter Verfasser aut The Optimal Design of Blocked and Split-Plot Experiments by Peter Goos New York, NY Springer New York 2002 1 Online-Ressource (XIII, 264p. 1 illus) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 164 0930-0325 This book provides a comprehensive treatment of the design of blocked and split-plot experiments, two types of experiments that are extremely popular in practice. The traget audience includes applied statisticians and academics. The optial design approach advocated in the book will help applied statisticians from industry, medicine, agriculture, chemistry, and many other fields of study in setting up tailor-made experiments. This is illustrated by a number of examples. The book also contains a theoretical background, a thorough review of the recent work in the area of blocked and split-plot experiments, and a number of interesting theoretical results Statistics Mathematical statistics Statistical Theory and Methods Statistik Korrelation (DE-588)4165343-9 gnd rswk-swf Regressionsmodell (DE-588)4127980-3 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Regressionsmodell (DE-588)4127980-3 s Korrelation (DE-588)4165343-9 s 2\p DE-604 https://doi.org/10.1007/978-1-4613-0051-9 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Goos, Peter The Optimal Design of Blocked and Split-Plot Experiments Statistics Mathematical statistics Statistical Theory and Methods Statistik Korrelation (DE-588)4165343-9 gnd Regressionsmodell (DE-588)4127980-3 gnd |
| subject_GND | (DE-588)4165343-9 (DE-588)4127980-3 (DE-588)4113937-9 |
| title | The Optimal Design of Blocked and Split-Plot Experiments |
| title_auth | The Optimal Design of Blocked and Split-Plot Experiments |
| title_exact_search | The Optimal Design of Blocked and Split-Plot Experiments |
| title_full | The Optimal Design of Blocked and Split-Plot Experiments by Peter Goos |
| title_fullStr | The Optimal Design of Blocked and Split-Plot Experiments by Peter Goos |
| title_full_unstemmed | The Optimal Design of Blocked and Split-Plot Experiments by Peter Goos |
| title_short | The Optimal Design of Blocked and Split-Plot Experiments |
| title_sort | the optimal design of blocked and split plot experiments |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistik Korrelation (DE-588)4165343-9 gnd Regressionsmodell (DE-588)4127980-3 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistik Korrelation Regressionsmodell Hochschulschrift |
| url | https://doi.org/10.1007/978-1-4613-0051-9 |
| work_keys_str_mv | AT goospeter theoptimaldesignofblockedandsplitplotexperiments |