Stochastic Orders [electronic resource] / edited by Moshe Shaked, J. George Shanthikumar.

Contributor(s): Shaked, Moshe [editor.] | Shanthikumar, J. George [editor.] | SpringerLink (Online service)
Material type: TextTextSeries: Springer Series in Statistics: Publisher: New York, NY : Springer New York, 2007Description: XVI, 474 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387346755Subject(s): Statistics | Statistics | Statistical Theory and MethodsAdditional physical formats: Printed edition:: No titleDDC classification: 519.5 LOC classification: QA276-280Online resources: Click here to access online
Contents:
Univariate Stochastic Orders -- Mean Residual Life Orders -- Univariate Variability Orders -- Univariate Monotone Convex and Related Orders -- The Laplace Transform and Related Orders -- Multivariate Stochastic Orders -- Multivariate Variability and Related Orders -- Stochastic Convexity and Concavity -- Positive Dependence Orders.
In: Springer eBooksSummary: Stochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex stochastic systems. This reference text presents a comprehensive coverage of the various notions of stochastic orderings, their closure properties, and their applications. Some of these orderings are routinely used in many applications in economics, finance, insurance, management science, operations research, statistics, and various other fields of study. And the value of the other notions of stochastic orderings still needs to be explored further. This book is an ideal reference for anyone interested in decision making under uncertainty and interested in the analysis of complex stochastic systems. It is suitable as a text for advanced graduate course on stochastic ordering and applications. Moshe Shaked is Professor of Mathematics at the University of Arizona, Tucson, AZ. He has made several fundamental contributions to the development of stochastic ordering and stochastic convexity, with applications in reliability theory and economics. He has published over 150 papers in this and related areas. J. George Shanthikumar is Professor of Industrial Engineering and Operations Research at the University of California, Berkeley, CA. He has made fundamental contributions to the application of stochastic ordering and stochastic convexity to queueing and related problems that arise in operations research and management science. He has published over 250 papers in this and related fields.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library

Electronic Book@IST

EBook Available
Total holds: 0

Univariate Stochastic Orders -- Mean Residual Life Orders -- Univariate Variability Orders -- Univariate Monotone Convex and Related Orders -- The Laplace Transform and Related Orders -- Multivariate Stochastic Orders -- Multivariate Variability and Related Orders -- Stochastic Convexity and Concavity -- Positive Dependence Orders.

Stochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex stochastic systems. This reference text presents a comprehensive coverage of the various notions of stochastic orderings, their closure properties, and their applications. Some of these orderings are routinely used in many applications in economics, finance, insurance, management science, operations research, statistics, and various other fields of study. And the value of the other notions of stochastic orderings still needs to be explored further. This book is an ideal reference for anyone interested in decision making under uncertainty and interested in the analysis of complex stochastic systems. It is suitable as a text for advanced graduate course on stochastic ordering and applications. Moshe Shaked is Professor of Mathematics at the University of Arizona, Tucson, AZ. He has made several fundamental contributions to the development of stochastic ordering and stochastic convexity, with applications in reliability theory and economics. He has published over 150 papers in this and related areas. J. George Shanthikumar is Professor of Industrial Engineering and Operations Research at the University of California, Berkeley, CA. He has made fundamental contributions to the application of stochastic ordering and stochastic convexity to queueing and related problems that arise in operations research and management science. He has published over 250 papers in this and related fields.

There are no comments for this item.

to post a comment.

Powered by Koha