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Optimal Experimental Design with R
Dieter Rasch
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:
Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs
Teaches 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.
345 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2019. gada 5. septembris |
| ISBN13 | 9780367382766 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 345 |
| Izmēri | 234 × 156 × 26 mm · 550 g |
| Valoda | Angļu |
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