Library Of American University Of Madaba
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Kitsos, Christos P.
Optimal Experimental Design for Non-Linear Models Theory and Applications / [electronic resource] : by Christos P. Kitsos. - IX, 102 p. 8 illus. online resource. - SpringerBriefs in Statistics, 2191-544X .
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.
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.
9783642452871
Statistics.
Statistics.
Statistics, general.
QA276-280
519.5
Optimal Experimental Design for Non-Linear Models Theory and Applications / [electronic resource] : by Christos P. Kitsos. - IX, 102 p. 8 illus. online resource. - SpringerBriefs in Statistics, 2191-544X .
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.
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.
9783642452871
Statistics.
Statistics.
Statistics, general.
QA276-280
519.5