Books by Dieter Rasch

This volume is the English version of the second edition of the bilingual textbook by Rasch, Verdooren and Gowers (1999).

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 programsTeaches by example using a custom made R program package: OPDOEConsisting 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.

Introduces experimenters to the philosophy of experimentation and the need for good design and data collection for experiments. This title gives experimenters and statisticians guidance on how to construct optimum experimental designs and calculate the sample size needed using R programs.