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<item>
  <id>05852053</id>
  <dt>b</dt>
  <an>2013b.00817</an>
  <augroup>
    <au>Pinto, Cesar Ariel</au>
    <au>Garvey, Paul R.</au>
  </augroup>
  <ti>Advanced risk analysis in engineering enterprise systems.</ti>
  <so>Statistics: Textbooks and Monographs. Boca Raton, FL: CRC Press (ISBN 978-1-4398-2614-0/hbk). xxi, 442~p. \$~99.95/hbk (2013).</so>
  <py>2013</py>
  <pu>Boca Raton, FL: CRC Press</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
    <cc>M45</cc>
  </ccgroup>
  <utgroup>
    <ut>risk analysis</ut>
    <ut>reliability</ut>
    <ut>queueing</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
  </ligroup>
  <abgroup>
    <ab>Engineering enterprise systems is an emerging discipline. It encompasses and extends traditional systems engineering to create and evolve webs of systems and systems-of-systems. In addition, the engineering management and management sciences communities need new approaches for analyzing and managing risk in engineering enterprise systems. The aim of this book is to present advances in methods designed to address this need. This book is organized around a set of advanced topics in risk analysis that apply to engineering enterprise systems. They include: a framework for modeling and measuring engineering risks, capability portfolio risk analysis and management, functional dependency network analysis (FDNA), extreme-event theory, prioritization systems in highly networked enterprise environments, measuring risks of extreme latencies in complex queuing networks. With a focus on engineering management, the book explains how to represent, model, and measure risk in large-scale, complex systems that are engineered to function in enterprise-wide environments. Along with an analytical framework and computational model, the authors introduce new protocols: the risk co-relationship (RCR) index and the functional dependency network analysis (FDNA) approach. These protocols capture dependency risks and risk co-relationships that may exist in an enterprise. Moving on to extreme and rare event risks, the text discusses how uncertainties in system behavior are intensified in highly networked, globally connected environments. It also describes how the risk of extreme latencies in delivering time-critical data, applications, or services can have catastrophic consequences and explains how to avoid these events. With more and more communication, transportation, and financial systems connected across domains and interfaced with an infinite number of users, information repositories, applications, and services, there has never been a greater need for analyzing risk in engineering enterprise systems. This book gives you advanced methods for tackling risk problems at the enterprise level. This book consisting of 12 chapters is appropriate for risk analysis studies in the engineering systems and engineering management communities. Readers need a background in systems science, systems engineering, and closely related fields. Mathematical competence in differential and integral calculus, risk and decision theory, random processes, and queuing theory is recommended. However, key concepts from these subjects are presented in this book. This facilitates understanding the application of these concepts in the topic areas described. Exercises are provided in each chapter to further the understanding of theory and practice. In my opinion it is far from the advance level, it is a combination of different areas with unified notation. Some topics are even on elementary level.</ab>
    <rv>J\'anos Sztrik (Debrecen)</rv>
  </abgroup>
</item>