Euclidean Design Theory

· ·
· Springer
电子书
134
评分和评价未经验证  了解详情

关于此电子书

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.

作者简介

Masanori Sawa received his M.S. degree in Mathematics from Hiroshima University in 2005 and Ph.D. degree in Information Science from Nagoya University in 2007. He was a postdoctoral fellow with the Japan Society for the Promotion of Science, a lecturer at the Takamatsu National College of Technology, and an Assistant Professor at Nagoya University. He has been an Associate Professor at the Graduate School of System Informatics, Kobe University, Japan, since 2014. His current research interests include algebraic combinatorics, numerical analysis and mathematical statistics.

Masatake Hirao received his M.S. and Ph.D. degrees in Information Science from Nagoya University, Japan, in 2006 and 2010, respectively. He has been an Associate Professor at the School of Information and Science Technology, Aichi Prefectural University, Japan, since 2014. His research interests are mathematical statistics, probability theory, combinatorics and numerical analysis.

Sanpei Kageyama has been a Visiting Professor of Statistics and Discrete Mathematics at the Research Center for Mathmatics and Science Education, Tokyo University of Science, Japan, since 2016. He is now an Emeritus Professor of Hiroshima University. He has published over 340 articles in scientific journals. He was a Foundation Fellow of the Institute of Combinatorics and its Applications, and a council member of the Mathematical Society of Japan, the Japan Statistical Society, and Japanese Society of Applied Statistics. He has also served on the editorial boards of Utilitas Mathematics, Journal of Statistical Planning and Inference, Discussiones Mathematicae, Sankhya, and the Journal of Statistics and Applications.

span="" arial","sans-serif";mso-ascii-font-family:calibri;mso-ascii-theme-font:major-latin;="" inference,="" discussiones="" mathematicae,="" sankhya,="" statistics="" applications./pp/pspan="" arial","sans-serif";mso-ascii-font-family:calibri;mso-ascii-theme-font:major-latin;="" inference,="" discussiones="" mathematicae,="" sankhya,="" statistics="" applications.p/pp/pspan="" arial","sans-serif";mso-ascii-font-family:calibri;mso-ascii-theme-font:major-latin;="" inference,="" discussiones="" mathematicae,="" sankhya,="" statistics="" applications.p/pp/pspan="" arial","sans-serif";mso-ascii-font-family:calibri;mso-ascii-theme-font:major-latin;="" inference,="" discussiones="" mathematicae,="" sankhya,="" statistics="" applications.p/pp/pspan="" arial","sans-serif";mso-ascii-font-family:calibri;mso-ascii-theme-font:major-latin;="" inference,="" discussiones="" mathematicae,="" sankhya,="" statistics="" applications.p/pp/pspan="" arial","sans-serif";mso-ascii-font-family:calibri;mso-ascii-theme-font:major-latin;="" inference,="" discussiones="" mathematicae,="" sankhya,="" statistics="" applications.p/p

为此电子书评分

欢迎向我们提供反馈意见。

如何阅读

智能手机和平板电脑
只要安装 AndroidiPad/iPhone 版的 Google Play 图书应用,不仅应用内容会自动与您的账号同步,还能让您随时随地在线或离线阅览图书。
笔记本电脑和台式机
您可以使用计算机的网络浏览器聆听您在 Google Play 购买的有声读物。
电子阅读器和其他设备
如果要在 Kobo 电子阅读器等电子墨水屏设备上阅读,您需要下载一个文件,并将其传输到相应设备上。若要将文件传输到受支持的电子阅读器上,请按帮助中心内的详细说明操作。