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Table of contents (21 chapters)
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Theory of Majorization
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Mathematical Applications
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Stochastic Applications
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Generalizations
Reviews
From the reviews of the second edition:
“The second edition of the praised classic without whom I know that some people never leave home … . attempts to bring these uses to the fore so that the reader can see the extent and variation in its use. The chapters of the original version remain intact … . The bibliography has increased by over 50%. … Needless to say, the revised volume obviously continues as a celebrated classic.” (Simo Puntanen, International Statistical Review, Vol. 79 (2), 2011)Authors and Affiliations
About the authors
Albert W. Marshall is Professor Emeritus of Statistics at the University of British Columbia. His fundamental contributions to reliability theory have had a profound effect in furthering its development.
Ingram Olkin is Professor Emeritus of Statistics at Stanford University. He has made fundamental contributions in multivariate analysis, and in the development of statistical methods in meta-analysis, which have resulted in its use in many applications.
Barry C. Arnold is Distinguished Professor of Statistics at the University of California, Riverside. His previous books deal with Pareto Distributions, Order Statistics, Record Values, Conditionally Specified Distributions, and the Lorenz Order.
Bibliographic Information
Book Title: Inequalities: Theory of Majorization and Its Applications
Authors: Albert W. Marshall, Ingram Olkin, Barry C. Arnold
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-0-387-68276-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-0-387-40087-7Published: 03 December 2010
Softcover ISBN: 978-1-4939-3827-8Published: 23 August 2016
eBook ISBN: 978-0-387-68276-1Published: 25 November 2010
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 2
Number of Pages: XXVII, 909
Topics: Statistical Theory and Methods