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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Oktober 2019
Genre:	Schulbücher
	C / Economics, finance, business & management / Mathematical & statistical software / Mathematics and Statistics / Probability & statistics / Statistical Theory and Methods / Statistics / Statistics and Computing / Statistics and Computing/Statistics Programs
ISBN:	9789811380747
EAN-Code:	9789811380747
Verlag:	Springer Nature Singapore
Einband:	Kartoniert
Sprache:	English
Serie:	JSS Research Series in Statistics SpringerBriefs in Statistics
Dimensionen:	H 235 mm / B 155 mm / D 9 mm
Gewicht:	230 gr
Seiten:	144
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book is the modern first treatment of experimental designs, providing a comprehensive introduction to the interrelationship between the theory of optimal designs and the theory of cubature formulas in numerical analysis. It also offers original new ideas for constructing optimal designs. 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.