Optimal Experimental Design with R Contributor(s): Rasch, Dieter (Author), Pilz, Jurgen (Author), Verdooren, L. R. (Author) |
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ISBN: 0367382768 ISBN-13: 9780367382766 Publisher: CRC Press OUR PRICE: $78.84 Product Type: Paperback - Other Formats Published: September 2019 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - General |
Dewey: 519.570 |
Physical Information: 0.72" H x 6.14" W x 9.21" (1.07 lbs) 345 pages |
Descriptions, Reviews, Etc. |
Publisher 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:
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. |