Stochastic Reliability and Maintenance Modeling Essays in Honor of Professor Shunji Osaki on his 70th Birthday / edited by Tadashi Dohi, Toshio Nakagawa.

In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance ev...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dohi, Tadashi (Editor), Nakagawa, Toshio (Editor)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Springer Series in Reliability Engineering,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki. Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.
Physical Description:XXII, 360 p. online resource.
ISBN:9781447149712
ISSN:1614-7839
DOI:10.1007/978-1-4471-4971-2