Optimal Experimental Design with R (Hardcover, New)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United States
Release date:	May 2011
First published:	March 2010
Authors:	Dieter Rasch • Jurgen Pilz • L. R. Verdooren • Albrecht Gebhardt
Dimensions:	234 x 156 x 24mm (L x W x T)
Format:	Hardcover
Pages:	345
Edition:	New
ISBN-13:	978-1-4398-1697-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-4398-1697-2
Barcode:	9781439816974

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