Optimal Experimental Design with R

By Dieter Rasch, Jürgen Pilz, L R Verdooren, et al.

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 1439816972
• ISBN13: 9781439816974
• Release Date: May 2011
• Publisher: CRC Press
• Length: 345 Pages
• Weight: 1.45 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"