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Herausgeber: 
  • Haijun Li
  • Xiaohu Li
  • Stochastic Orders in Reliability and Risk: In Honor of Professor Moshe Shaked 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Juni 2013  
    Genre:  Schulbücher 
     
    B / Epidemiology & medical statistics / Mathematics and Statistics / Probability & statistics / Statistical Theory and Methods / Statistics / Statistics for Life Sciences, Medicine, Health Sciences / Statistics in Life Sciences, Medicine, Health Sciences / Statistics, general
    ISBN:  9781461468912 
    EAN-Code: 
    9781461468912 
    Verlag:  Springer New York 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #208 - Lecture Notes in Statistics
    Lecture Notes in Statistics - Proceedings  
    Dimensionen:  H 241 mm / B 160 mm / D 29 mm 
    Gewicht:  875 gr 
    Seiten:  476 
    Zus. Info:  HC gerader Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic comparison of order statistics, stochastic orders in reliability and risk analysis, and applications. These review/exploratory chapters present recent and current research on stochastic orders reported at the International Workshop on Stochastic Orders in Reliability and Risk Management, or SORR2011, which took place in the City Hotel, Xiamen, China, from June 27 to June 29, 2011. The conference's talks and invited contributions also represent the celebration of Professor Moshe Shaked, who has made comprehensive, fundamental contributions to the theory of stochastic orders and its applications in reliability, queueing modeling, operations research, economics and risk analysis. This volume is in honor of Professor Moshe Shaked. The work presented in this volume represents active research on stochastic orders and multivariate dependence, and exemplifies close collaborations between scholars working in different fields. The Xiamen Workshop and this volume seek to revive the community workshop tradition on stochastic orders and dependence and strengthen research collaboration, while honoring the work of a distinguished scholar.

      
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