Detalls del llibre
Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question.
Providing a concise introduction to experimental design theory, Optimal Experimental Design with R:
- Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programsTeaches by example using a custom made R program package: OPDOE
Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians.
- Autors Dieter Rasch, Jurgen Pilz, L.R. Verdooren, Albrecht Gebhardt
- ISBN13 9781439816974
- ISBN10 1439816972
- Pàgines 345
- Any Edició 2011
- Fecha de publicación 18/05/2011
- Idioma Alemany, Francès
Ressenyes i valoracions
Optimal Experimental Design with R (Alemany, Francès)
- De
- Dieter Rasch, Jurgen Pilz, L.R. Verdooren, Albrecht Gebhardt
- |
- TAYLOR & F (2011)
- 9781439816974



