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Euclidean Design Theory (2019)

Contributor(s): Sawa, Masanori (Author), Hirao, Masatake (Author), Kageyama, Sanpei (Author)

ISBN: 9789811380747

Publisher: Springer

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Pub Date: October 7, 2019

Dewey: 330.015195

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.31" H x 9.21" L x 6.14" W ( 0.47 lbs) 134 pages

Series: Springerbriefs in Statistics

Descriptions, Reviews, etc.

Description:

Covers the constructions of optimal experimental designs comprehensively

Provides a novel framework for understanding optimal designs, based on the theory of cubature formulas in analysis and spherical/Euclidean designs in combinatorics

Presents a fresh approach for introducing the theory of the cubature formula with reproducing kernel Hilbert space in functional analysis


Review Quotes:

"This book can be used in a PhD course for mathematicians or statisticians with a solid background in numerical analysis, and can be used as a reference for researchers who need to use Euclidean designs or cubature formulae or both." (Fabio Rapallo, Mathematical Reviews, October, 2020)

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