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Stochastic Orders in Reliability and Risk - In Honor of Professor Moshe Shaked (Hardcover, 2013 ed.) Loot Price: R3,815
Discovery Miles 38 150
Stochastic Orders in Reliability and Risk - In Honor of Professor Moshe Shaked (Hardcover, 2013 ed.): Haijun Li, Xiaohu Li

Stochastic Orders in Reliability and Risk - In Honor of Professor Moshe Shaked (Hardcover, 2013 ed.)

Haijun Li, Xiaohu Li

Series: Lecture Notes in Statistics, 208

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Loot Price R3,815 Discovery Miles 38 150 | Repayment Terms: R358 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Lecture Notes in Statistics, 208
Release date: June 2013
First published: 2013
Editors: Haijun Li • Xiaohu Li
Dimensions: 235 x 155 x 30mm (L x W x T)
Format: Hardcover
Pages: 442
Edition: 2013 ed.
ISBN-13: 978-1-4614-6891-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 1-4614-6891-4
Barcode: 9781461468912

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