Algebraic Methods in Statistics and Probability

Algebraic Methods in Statistics and Probability

by Marlos A. G. Viana, Donald Richards
     
 

ISBN-10: 0821826875

ISBN-13: 9780821826874

Pub. Date: 12/01/2001

Publisher: American Mathematical Society

Algebraic methods and arguments in statistics and probability are well known, from Gauss's 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

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Overview

Algebraic methods and arguments in statistics and probability are well known, from Gauss's 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.

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Product Details

ISBN-13:
9780821826874
Publisher:
American Mathematical Society
Publication date:
12/01/2001
Series:
Contemporary Mathematics Series, #287
Pages:
340
Product dimensions:
7.09(w) x 9.84(h) x (d)

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