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Title: ALGEBRAIC METHODS IN STATISTICS AND PROBABILITY
AMS SPECIAL SESSION ON ALGEBRAIC METHODS AND STATISTICS, APRIL 8-9, 2000, UNIVERSITY OF NOTRE DAME, NOTRE DAME, INDIANA
By: Marlos A. G. Viana, Donald St.P. Richards
Format: Paperback

List price: £90.00


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ISBN 10: 0821826875
ISBN 13: 9780821826874
Publisher: AMERICAN MATHEMATICAL SOCIETY
Pub. date: 15 December, 2001
Edition: Illustrated edition
Series: Contemporary Mathematics No. 287
Pages: 340
Description: Algebraic methods and arguments in statistics and probability are well known, from Gauss' least squares principle through Fisher's method of variance decomposition. This volume is based on lectures presented at the AMS Special Session on Algebraic Methods and Statistics held at the University of Notre Dame (Indiana).
Synopsis: Algebraic methods and arguments in statistics and probability are well known, from Gauss' least squares principle through Fisher's method of variance decomposition. The relevance of group-theoretic arguments, for example, became evident in the 1980s. Such techniques continue to be of interest today, along with other developments, such as the use of graph theory in modelling complex stochastic systems.This volume is based on lectures presented at the AMS Special Session on Algebraic Methods and Statistics held at the University of Notre Dame (Indiana) and on contributed articles solicited for this volume. The articles are intended to foster communication between representatives of the diverse scientific areas in which these functions are utilized and to further the trend of utilizing algebraic methods in the areas of statistics and probability. This is one of few volumes devoted to the subject of algebraic methods in statistics and probability. The wide range of topics covered in this volume demonstrates the vigorous level of research and opportunities ongoing in these areas.
Illustrations: Illustrations
Publication: US
Imprint: American Mathematical Society
Returns: Returnable
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