Association Schemes: Designed Experiments, Algebra and Combinatorics (Paperback)

R.A. Bailey

ISBN 10: 0521188016 / ISBN 13: 9780521188012

Published by Cambridge University Press, Cambridge, 2011

About this Item

Paperback. R.A. Bailey covers in this study the mathematics of association schemes—an area lying between pure mathematics and statistics that relates to the optimal design of scientific experiments. The book is accessible to mathematicians as well as statisticians. Arising from a graduate course taught by the author, it appeals to students as well as researchers as a valuable reference work from which to learn about the statistical/combinatorial aspects of their work. Association schemes for graduate mathematicians and statisticians, minimum prerequisites, numerous examples and exercises. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780521188012

Bibliographic Details

Title: Association Schemes: Designed Experiments, ...

Publisher: Cambridge University Press, Cambridge

Publication Date: 2011

Binding: Paperback

Condition: new

About this title

Synopsis:

R.A. Bailey covers in this study the mathematics of association schemes--an area lying between pure mathematics and statistics that relates to the optimal design of scientific experiments. The book is accessible to mathematicians as well as statisticians. Arising from a graduate course taught by the author, it appeals to students as well as researchers as a valuable reference work from which to learn about the statistical/combinatorial aspects of their work.

Book Description:

This book has arisen from a graduate course taught by R.A. Bailey at the University of London. She discusses the mathematics of association schemes, an area lying between pure maths and statistics that relates to the optimal design of scientific experiments. Care has been taken to make the book accessible to both pure mathematicians and statisticians alike. The level is that of a graduate student, but this book will appeal to researchers as an accessible reference work from which to learn about the statistical/combinatorial aspect of their work.