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Optimal Experimental Design for Non-Linear Models
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Artikel-Nr:
9783642452871
Veröffentl:
2014
Einband:
eBook
Seiten:
102
Autor:
Christos P. Kitsos
Serie:
SpringerBriefs in Statistics
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
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.
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.
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.