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|a 9783642452871
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|a Kitsos, Christos P.
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|a Optimal Experimental Design for Non-Linear Models
|h Elektronische Ressource
|b Theory and Applications
|c by Christos P. Kitsos
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250 |
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|a 1st ed. 2013
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2013, 2013
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300 |
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|a IX, 102 p. 8 illus
|b online resource
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|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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653 |
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|a Statistics
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653 |
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|a Statistics
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a SpringerBriefs in Statistics
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|a 10.1007/978-3-642-45287-1
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|u https://doi.org/10.1007/978-3-642-45287-1?nosfx=y
|x Verlag
|3 Volltext
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|a 519.5
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|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
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