Optimal Experimental Design with R
1st Edition
Published on 18. May 2011
345 pages
978-1-4398-1698-1 (ISBN)
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 experi
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Statisticians in experimental design; applied scientists in the natural sciences, agriculture, medicine, engineering, and environmental science.
Illustrations
15 s/w Abbildungen, 62 s/w Tabellen
15 b/w images, 62 tables and 72 in text boxes
File size
6,05 MB
ISBN-13
978-1-4398-1698-1 (9781439816981)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Dieter Rasch | Jurgen Pilz | L.R. Verdooren
Optimal Experimental Design with R
Book
09/2019
1st Edition
Chapman & Hall/CRC
€97.00
Shipment within 15-20 days
Dieter Rasch | Jurgen Pilz | L.R. Verdooren
Optimal Experimental Design with R
Book
05/2011
1st Edition
Chapman & Hall/CRC
€186.10
Shipment within 15-20 days
Persons
Dieter Rasch: Currently Senior Consultant at the Centre of Experimental Design: University of Natural Resources and Life Sciences, Vienna, Dr. Rasch is an Elected Member of the International Statistical Institute (ISI), a Fellow of the IMS, and author/co-author of 46 books and more than 260 scientific papers.
From 1958- 1990, Dr. Rasch was Head of the Deparment (and Institute) of Biometry at the Research Centre Dummerstorf-Rostock, Germany. Afterwards, Dr. Rasch was professor of Mathematical Statistics at the University of Wageningen, The Netherlands from 1991 to 2000. Since 2000, he has served as a guest professor at the Math. Inst. of the University of Klagenfurt, the University Vienna, and at the Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences (2007 to 2010).
Albrecht Gebhardt: Assistant professor at the Institute of Statistics, University of Klagenfurt since 2004.
Jurgen Pilz: Professor and Chair of Applied Statistics at the University of Klagenfurt (UniKlu), Austria since 1994, and the head of the Department of Statistics at UniKlu since 2007. He has held many guest professorships, including at Purdue University, USA, Charles University, Prague,Czech Republic, the University of Augsburg, Germany, and the University of British Columbia, Vancouver, Canada. He is an Elected Member of the Int. Statist. Institute (ISI), a Fellow of the IMS, and author/co-author of six books and more than 100 scientific papers.
Rob Verdooren: A Consultant Statistician at Danone Research, Centre for Spceialised Nutrition, Wageningen, the Netherlands. He is retired Associate Professor in Experimental Design and Analysis at the Agricultural Uniiversity Wageningen, the Netherlands. Besides Experimental Design, his interests lies in Biostatistics and the design and analysis of breeding trials of Oil Palms in Indonesia.
From 1958- 1990, Dr. Rasch was Head of the Deparment (and Institute) of Biometry at the Research Centre Dummerstorf-Rostock, Germany. Afterwards, Dr. Rasch was professor of Mathematical Statistics at the University of Wageningen, The Netherlands from 1991 to 2000. Since 2000, he has served as a guest professor at the Math. Inst. of the University of Klagenfurt, the University Vienna, and at the Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences (2007 to 2010).
Albrecht Gebhardt: Assistant professor at the Institute of Statistics, University of Klagenfurt since 2004.
Jurgen Pilz: Professor and Chair of Applied Statistics at the University of Klagenfurt (UniKlu), Austria since 1994, and the head of the Department of Statistics at UniKlu since 2007. He has held many guest professorships, including at Purdue University, USA, Charles University, Prague,Czech Republic, the University of Augsburg, Germany, and the University of British Columbia, Vancouver, Canada. He is an Elected Member of the Int. Statist. Institute (ISI), a Fellow of the IMS, and author/co-author of six books and more than 100 scientific papers.
Rob Verdooren: A Consultant Statistician at Danone Research, Centre for Spceialised Nutrition, Wageningen, the Netherlands. He is retired Associate Professor in Experimental Design and Analysis at the Agricultural Uniiversity Wageningen, the Netherlands. Besides Experimental Design, his interests lies in Biostatistics and the design and analysis of breeding trials of Oil Palms in Indonesia.
Content
Introduction. Determining the Minimal Size of an Experiment for Given Precision: Sample Size Determination in Completely Randomised Designs. Size of Experiments in Analysis of Variance Models. Sample Size Determination in Model II of Regression Analysis. Sequential Designs. Construction of Optimal Designs: Constructing Balanced Incomplete Block Designs. Constructing Fractional Factorial Designs. Exact Optimal Designs and Sample Sizes in Model I of Regression Analysis. Special Designs. Second Order Designs. Mixture Designs. Theoretical Background.
