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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Format: | Electronic |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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Series: | SpringerBriefs in Statistics,
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Subjects: | |
Online Access: | View fulltext via EzAccess |
Table of Contents:
- 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.CaratheodoryỚ"s Theorem
- A2.Silvapulle's Theorem
- A3.Conditional Inverse
- A4.Simulation I Results, Tables 7.1 Ớ<U+001c> 7.5
- A5.Simulation II Results, Tables 7.7 Ớ<U+001c> 7.14.