E-Book, Englisch, 134 Seiten, eBook
E-Book, Englisch, 134 Seiten, eBook
Reihe: JSS Research Series in Statistics
ISBN: 978-981-1380-75-4
Verlag: Springer Singapore
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
The book opens with some basics on reproducing kernels, and builds up to more advanced topics, including bounds for the number of cubature formula points, equivalence theorems for statistical optimalities, and the Sobolev Theorem for the cubature formula. It concludes with a functional analytic generalization of the above classical results.
Although it is intended for readers who are interested in recent advances in the construction theory of optimal experimental designs, the book is also useful for researchers seeking rich interactions between optimal experimental designs and various mathematical subjects such as spherical designs in combinatorics and cubature formulas in numerical analysis, both closely related to embeddings of classical finite-dimensional Banach spaces in functional analysis and Hilbert identities in elementary number theory. Moreover, it provides a novel communication platform for “design theorists” in a wide variety of research fields.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Chapter I: Reproducing Kernel Hilbert Space.- Chapter II: Cubature Formula.- Chapter III: Optimal Euclidean Design.- Chapter IV: Constructions of Optimal Euclidean Design.- Chapter V: Euclidean Design Theory.