ENGLISH

Optimal Experimental Design with R

By Dieter Rasch , Jurgen Pilz , L.R. Verdooren , Albrecht Gebhardt

Book information

Publisher
Chapman and Hall/CRC
Year
2011
ISBN
1439816972, 9781439816974, 9781439816981
LCC
QA279 .O668 2011
Google Books ID
sgwKm8Ng_1cC
Open Library ID
OL24906450M
Language
english
Format
PDF
Filesize
5 MB (5363752 bytes)
Edition
1
Pages
340\340
Orientation
yes
Scanned
no
Time added
2012-02-14 18:00:00
Математика;Теория вероятностей и математическая ст

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 programsTeaches 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.

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