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Optimal Experimental Design with R

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by Dieter Rasch & Jurgen Pilz & L. R. Verdooren
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Optimal Experimental Design with R by Dieter Rasch & Jurgen Pilz & L. R. Verdooren

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.

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Ebook Details
Pages: 345
Size: 6.1 MB
Publisher: CRC Press
Date published:   2011
ISBN: 9781439816981 (DRM-PDF)

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Nonfiction > Mathematics > Probability & Statistics

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Nonfiction > Psychology > Statistics
Nonfiction > Mathematics > Probability & Statistics

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