Optimal Experimental Design for Non-Linear Models: Theory and Applications

✍ Scribed by Christos P. Kitsos (auth.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2013
Tongue: English
Leaves: 104
Series: SpringerBriefs in Statistics
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-ix
Introduction....Pages 1-4
Motivation....Pages 5-14
Locally Optimal Designs....Pages 15-30
Static Design....Pages 31-38
Sequential Designs....Pages 39-50
Approximate Confidence Regions....Pages 51-57
Simulation Studies....Pages 59-71
Optimal Design in Rythmometry....Pages 73-83
Discussion....Pages 85-87
Back Matter....Pages 89-102

✦ Subjects

Statistics, general

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