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Algebraic Methods in Statistics and Probability
Marlos A. G. VianaDonald St. P. Richards
其他書名
AMS Special Session on Algebraic Methods and Statistics, April 8-9, 2000, University of Notre Dame, Notre Dame, Indiana
出版American Mathematical Soc., 2001
主題Mathematics / Algebra / GeneralMathematics / AppliedMathematics / Group TheoryMathematics / Probability & Statistics / GeneralMathematics / Probability & Statistics / Stochastic Processes
ISBN08218268759780821826874
URLhttp://books.google.com.hk/books?id=QGgbCAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.