Optimal experimental design with R
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Word Count
81,250 words, Guess
Page Count
325 pages
Identifiers
- Internet Archiveoptimalexperimen0000unse
- ISBN-101439816972
- ISBN-139781439816974
- Library of Congress Control Number2011023001
- OCLC Control Number740281606
and 3 more
- OCLC Control Number760054936
- Better World Books9781439816974
- Open LibraryOL24906450M
Classifications
- DDC519.5/702855133
- LCCQA279 .O668 2011
- LCCQA279
and 1 more
- LCCQA279 .R37 2011
Description
"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 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"--Back cover.
Subjects
Other Editions
- Optimal experimental design with R
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