Optimal Experimental Design for Non-Linear Models Theory and Applications

This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engine...

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Bibliographic Details
Main Author: Kitsos, Christos P.
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013, 2013
Edition:1st ed. 2013
Series:SpringerBriefs in Statistics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Optimal Experimental Design for Non-Linear Models  |h Elektronische Ressource  |b Theory and Applications  |c by Christos P. Kitsos 
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260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2013, 2013 
300 |a IX, 102 p. 8 illus  |b online resource 
505 0 |a 1.Introduction -- 2. Motivation -- 3.Locally Optimal Designs -- 4.Static Design -- 5.Sequential Designs -- 6.Approximate Confidence Regions -- 7.Working with Data: Simulation Studies -- 8.A Case Study: Optimal Designs in Rythmometry -- 9.Discussion -- References -- A1.Caratheodory’s Theorem -- A2.Silvapulle's Theorem -- A3.Conditional Inverse -- A4.Simulation I Results, Tables 7.1 – 7.5 -- A5.Simulation II Results, Tables 7.7 – 7.14 
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520 |a This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engineers, Chemists and Physicists will find new approaches to conducting their experiments. The book is recommended for Graduate Students and Researchers