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Optimum experimental designs, with SAS /
Experiments in the field and in the laboratory cannot avoid random error and statistical methods are essential for their efficient design and analysis. Authored by leading experts in key fields, this text provides many examples of SAS code, results, plots and tables, along with a fully supported web...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford ; New York :
Oxford University Press,
2007.
|
| Colección: | Oxford statistical science series ;
34. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Atkinson, A. C. |q (Anthony Curtis) | |
| 245 | 1 | 0 | |a Optimum experimental designs, with SAS / |c Anthony Atkinson, Alexander Donev, Randall Tobias. |
| 260 | |a Oxford ; |a New York : |b Oxford University Press, |c 2007. | ||
| 300 | |a 1 online resource (xvi, 511 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 347 | |a data file | ||
| 490 | 1 | |a Oxford statistical science series ; |v 34 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction -- Some key ideas -- Experimental strategies -- The choice of a model -- Models and least squares -- Criteria for a good experiment -- Standard designs -- The analysis of experiments -- Optimum design theory -- Criteria of optimality -- D-optimum designs -- Algorithms for the construction of exact D-optimum designs -- Optimum experimental design with SAS -- Experiments with both qualitative and quantitative factors -- Blocking response surface designs -- Mixture experiments -- Non-linear models -- Bayesian optimum designs -- Design augmentation -- Model checking and designs for discriminating between models -- Compound design criteria -- Generalized linear models -- Response transformation and structured variances -- Time-dependent models with correlated observations -- Further topics -- Exercises. | |
| 588 | 0 | |a Print version record. | |
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 520 | |a Experiments in the field and in the laboratory cannot avoid random error and statistical methods are essential for their efficient design and analysis. Authored by leading experts in key fields, this text provides many examples of SAS code, results, plots and tables, along with a fully supported website. | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
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| 546 | |a English. | ||
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| 650 | 7 | |a Optimale Versuchsplanung |2 gnd | |
| 700 | 1 | |a Donev, A. N. |q (Alexander N.) | |
| 700 | 1 | |a Tobias, Randall. | |
| 776 | 0 | 8 | |i Print version: |a Atkinson, A.C. (Anthony Curtis). |t Optimum experimental designs, with SAS. |d Oxford : Oxford University Press, 2007 |z 9780199296590 |z 0199296596 |w (OCoLC)84995434 |
| 830 | 0 | |a Oxford statistical science series ; |v 34. | |
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