,

Stochastic Orders in Reliability and Risk

In Honor of Professor Moshe Shaked

Gebonden Engels 2013 2013e druk 9781461468912
€ 120,99
Levertijd ongeveer 9 werkdagen
Gratis verzonden

Samenvatting

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.

Specificaties

ISBN13:9781461468912
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:442
Uitgever:Springer New York
Druk:2013

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Inhoudsopgave

Theory of Stochastic Orders.- Stochastic Comparison of Order Statistics.- Stochastic Orders in Reliability.- Stochastic Orders in Risk Analysis.- Applications.- Bibliography.- Authors Index.- Subjects Index.

Managementboek Top 100

€ 120,99
Levertijd ongeveer 9 werkdagen
Gratis verzonden

Rubrieken

    Personen

      Trefwoorden

        Stochastic Orders in Reliability and Risk