Moshe Shaked, J. George Shanthikumar

eBook, PDF

Stochastic Orders (eBook, PDF)

Beschreibung

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.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 2.95MB

Barrierefreiheit

• Text-to-Speech

Autor

Moshe Shaked, University of Arizona, Tuscon, AZ, USA / J. George Shanthikumar, University of California, Berkeley, CA, USA

Produktdetails

• Verlag: Springer New York
• Seitenzahl: 473
• Erscheinungstermin: 3. April 2007
• Englisch
• ISBN-13: 9780387346755
• Artikelnr.: 37286237

Rezensionen

From the reviews:"This book is a wide, well written and clearly organized extension of the first six chapters of the author's book 'Stochastic orders and their applications' ... . In addition the book illustrates some of the usefulness and applicability of the theory and now it is the most complete monograph in this field. ... The book will be useful for a wide spectrum of researchers in the area of probability, statistics, operations research, actuarial mathematics, economics, etc." (Jaroslaw Bartoszewicz, Zentralblatt MATH, Vol. 1111 (8), 2007)"A comprehensive coverage of various notions of stochastic orderings and their closure properties. The authors have done an excellent job in the coverage of the material. The book is written in a

theorem-proof format ... . has a bibliography with 578 items indicating the wide coverage. Selected material from the book can be used for a course in stochastic orders ... . is an ideal reference for those interested in learning about various types of stochastic orders to analyze complex stochastic systems." (B. L. S. Prakasa Rao, Mathematical Reviews, Issue 2008 g)"This book is a major extension of some of the materials presented in authors' earlier book on the topic. ... this is a timely reference book for the targeted researcher. It has an up-to-date reference section, with 578 entries. The book could be adopted as a text for advanced graduate course on the subject. ... a nicely written and well-structured book, with excellent review sections. ... The book's infrastructure makes it an ideal candidate as an advanced-level textbook in a host of disciplines ... ." (Technometrics, Vol. 50 (3), August, 2008)"...Since 1994, research in stochastic orders has grown considerably, leading the authors to update their earlier book. ...Although the book is a reference, it is enjoyable to read. The material is presented at a level that makes the book accessible to a broad audience. ...results are presented as theorems. The authors have taken care in deciding which results to prove.  Rather than giving general or arcane proofs, they prove their theorems using tools familiar to persons working in operations research, statistics, and engineering. As a result, the reader quickly gains an appreciation of why particular results work... . This book is a must for anyone whose research involves stochastic orders. ..." ((Journal of the American Statistical Association, September 2009, Vol. 104, No. 487)