Model-Oriented Design of Experiments (Second Edition 2025) (Lecture Notes in Statistics #196)

By: Valerii V. Fedorov and Peter Hackl

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

Synopsis: This book presents the basic ideas of statistical methods in the design of optimal experiments. This new edition now includes sections on design techniques based on the elemental Fisher information matrices (as opposed to Pearson information/moment matrices), allowing a seamless extension of the design techniques to inferential problems where the shape of distributions is essential for optimal design construction. Topics include designs for nonlinear models, models with random parameters and models with correlated observations, designs for model discrimination and misspecified (contaminated) models, and designs in functional spaces. The authors avoid technical details, assuming a moderate background in calculus, matrix algebra, and statistics. In many places, however, suggestions are made as to how the ideas presented in this book can be extended and elaborated for use in real scientific research and practical engineering problems.

Book Quality:: Publisher Quality
ISBN-13:: 9781071643020
Related ISBNs:: 9781071643013
Publisher:: Springer New York
Date of Addition:: 12/26/24
Copyrighted By:: Springer Science+Business Media, LLC, part of Springer Nature
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Mathematics and Statistics, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.