β Scribed by Marvin Rausand, Arnljot HΓΈyland
No coin nor oath required. For personal study only.
A thoroughly updated and revised look at system reliability theorySince the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability engineering and introduced new concepts and terminology not previously addressed in the engineering literature. Consequently, the Second Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards.To maximize its value as a pedagogical tool, the Second Edition features:Additional chapters on reliability of maintained systems and reliability assessment of safety-critical systemsDiscussion of basic assessment methods for operational availability and production regularityNew concepts and terminology not covered in the first editionRevised sequencing of chapters for better pedagogical structureNew problems, examples, and cases for a more applied focusAn accompanying Web site with solutions, overheads, and supplementary informationWith its updated practical focus, incorporation of industry feedback, and many new examples based on real industry problems and data, the Second Edition of this important text should prove to be more useful than ever for students, instructors, and researchers alike.
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This is the most complete reliability book that I have seen. It is appropriate as both a textbook and a reference. It is well-written and easy to understand. I highly recommend this book for anybody interested in learning reliability theory.
<b>Handbook and reference for industrial statisticians and system reliability engineers</b><br /><br /><i>System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition</i> presents an updated and revised look at system reliability theory, modeling, and analytical methods. T
ΠΠ½ΠΈΠ³Π°. Second edition, 2004. 636 p. USA ISBN 0-471-47133-X<div class="bb-sep"></div>The second edition of System reliability theory is major upgrade compared to the first edition. Two new chapters have been added, and most of the original chapters have been revised. Most of text has been rewritten ,
This is the most complete reliability book that I have seen. It is appropriate as both a textbook and a reference. It is well-written and easy to understand. I highly recommend this book for anybody interested in learning reliability theory.
Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical development of the procedures. Provides the most useful statistical techniques, not only for the normal distribution, but for other important distributions