Belzunce, F., Martínez-Riquelme, C. and J. Mulero: An Introduction to Stochastic Orders. Academic Press, New York, 2016, 174 pp., EUR 53.95 (print), ISBN 978-0128037683

Belzunce, F., Martínez-Riquelme, C. and J. Mulero: An Introduction to Stochastic Orders.... Stat Papers (2017) 58:947–949 DOI 10.1007/s00362-017-0914-8 BOOK REVIEW Belzunce, F., Martínez-Riquelme, C. and J. Mulero: An Introduction to Stochastic Orders. Academic Press, New York, 2016, 174 pp., EUR 53.95 (print), ISBN 978-0128037683 Christian Kleiber Received: 24 April 2017 / Revised: 28 April 2017 / Published online: 10 May 2017 © Springer-Verlag Berlin Heidelberg 2017 The literature on stochastic orders has been growing rapidly over the last 20 years. With dozens (if not hundreds) of ordering concepts, with often subtle differences, it is becoming increasingly difficult to find a suitable point of entry for newcomers to the field. Of course, there is the standard reference by Shaked and Shanthikumar (2007), but this is an encyclopaedic treatment providing comprehensive coverage of the literature up to about 10 years ago. The book under review attempts to provide an introductory account in just 150 pages. The presentation is accessible for readers with a fairly modest background in applied probability and statistics. This implies that results are usually not given under weakest conditions; an advantage is that it was possible to include a large amount of interesting and useful material. There are three chapters: the first (25pp) mainly presents background material, the second (90pp) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistical Papers Springer Journals

Belzunce, F., Martínez-Riquelme, C. and J. Mulero: An Introduction to Stochastic Orders. Academic Press, New York, 2016, 174 pp., EUR 53.95 (print), ISBN 978-0128037683

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg
Subject
Statistics; Statistics for Business/Economics/Mathematical Finance/Insurance; Probability Theory and Stochastic Processes; Economic Theory/Quantitative Economics/Mathematical Methods; Operations Research/Decision Theory
ISSN
0932-5026
eISSN
1613-9798
D.O.I.
10.1007/s00362-017-0914-8
Publisher site
See Article on Publisher Site

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