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Optimal Experimental Design with R
Contributor(s): Rasch, Dieter (Author), Pilz, Jurgen (Author), Verdooren, L. R. (Author)
ISBN: 0367382768     ISBN-13: 9780367382766
Publisher: CRC Press
OUR PRICE:   $78.84  
Product Type: Paperback - Other Formats
Published: September 2019
Qty:
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:

  • 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.