Optimal Experimental Design with R

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.

• | Author: Dieter Rasch, Jurgen Pilz, L. R. Verdooren, Albrecht Gebhardt
• | Publisher: Chapman And Hall/Crc
• | Publication Date: Sep 05, 2019
• | Number of Pages: 345 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0367382768
• | ISBN-13: 9780367382766