Overview
- Experimental designs applied to medicine, chemistry and engineering are provided as well as theoretical procedures for both characterising and solving particular problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Contributions to Statistics (CONTRIB.STAT.)
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Table of contents (30 papers)
Keywords
About this book
Reviews
From the reviews:
“The volume is a set of 30 articles strongly connected to the talks presented at the 9th International Workshop in Model-Oriented Design and Analysis. … It offers the model-oriented approach to optimality of designs from theoretical point of view and gives real examples in many areas of applications. … it presents the latest trends in optimal experimental designs research. The concepts in the book are presented in a very reader-friendly way, with many examples. … highly recommended for anyone interested in design of experiments.” (Katarzyna Filipiak, International Statistical Review, Vol. 79 (3), 2011)Editors and Affiliations
Bibliographic Information
Book Title: mODa 9 – Advances in Model-Oriented Design and Analysis
Book Subtitle: Proceedings of the 9th International Workshop in Model-Oriented Design and Analysis held in Bertinoro, Italy, June 14-18, 2010
Editors: Alessandra Giovagnoli, Anthony C. Atkinson, Bernard Torsney, Caterina May
Series Title: Contributions to Statistics
DOI: https://doi.org/10.1007/978-3-7908-2410-0
Publisher: Physica Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-7908-2409-4Published: 21 June 2010
eBook ISBN: 978-3-7908-2410-0Published: 10 June 2010
Series ISSN: 1431-1968
Series E-ISSN: 2628-8966
Edition Number: 1
Number of Pages: XXVI, 239
Number of Illustrations: 31 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Computational Mathematics and Numerical Analysis, Statistics, general, Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences