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Reliability: Probabilistic Models and Statistical Methods, by Lawrence Mark Leemis
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An elementary introduction to the probabilistic models and statistical methods used by reliability engineers as applied to, for example, electrical or mechanical systems. Leemis offers explanations of how the mathematical models and results apply to engineering design and the analysis of lifetime data sets, with simple, supplementary proofs and derivations provided when necessary. Applications are drawn from a variety of disciplines.
- Sales Rank: #1301470 in Books
- Brand: Brand: Lawrence Leemis
- Published on: 2009-01-01
- Original language: English
- Number of items: 1
- Dimensions: 9.61" h x .79" w x 6.69" l, 1.34 pounds
- Binding: Paperback
- 384 pages
- ISBN13: 9780692000274
- Condition: New
- Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!
From the Publisher
An elementary introduction to the probabilistic models and statistical methods used by reliability engineers as applied to, for example, electrical or mechanical systems. Leemis offers explanations of how the mathematical models and results apply to engineering design and the analysis of lifetime data sets, with simple, supplementary proofs and derivations provided when necessary.
From the Back Cover
Covers both the Probabalistic models and Statistical methods used by reliability engineers. It contains explanations of how the mathematical models and results apply to engineering design and the analysis of lifetime data sets. Most applications are drawn from mechanical, civil or electrical engineering systems.
Most helpful customer reviews
4 of 5 people found the following review helpful.
ESSENTIAL READING! You will not regret purchasing this book!
By An Actual Scientist
Professor Larry Leemis delivers yet again! Over the years, I have become a connoiseur of multiple editions of this and other texts he has written. The author is an outstanding teacher with an engaging yet extremely comprehensive writing style, and I have yet to find any text in the field that even remotely comes close to this volume in quality, let alone surpasses it. (I have easily read between 7 and 12 far more expensive texts that attempt in vain to duplicate even mere portions of Leemis's classic!) I have been working in applied mathematics and reliability engineering for extremely complex multibillion-dollar global projects for almost 20 years now, in addition to university teaching, and this is still the book to which I refer all new researchers and students. You will not regret this purchase, and the likelihood that the text will fail you is effectively zero, as long as you approach the book and its subject-matter with serious intent to master it. (The proof I leave as an exercise for the reader!)
Let me once again emphasize: This book contains individual tables and diagrams that you will not find elsewhere, and these would, in and of themselves, easily justify the purchase price of the entire book!
Although the work is exemplary as-is, one suggestion for expanding subsequent editions would be to incorporate a chapter or two on related numerical methods (in the trenches, outside of comfortably standard pre-packaged environments like R and Stata) and discrete event simulation in reliability modeling. While space requirements would necessarily limit the depth to which these could be covered, both are among the author's many strengths, and the book could provide an outstanding touchstone for students and researchers interested in taking the material and going even deeper.
As a practitioner, I implore the publisher and author to continue producing new editions of this outstanding work! We will keep purchasing them!
0 of 3 people found the following review helpful.
Two Stars
By Louis E Cano
I sent this boo back.
0 of 7 people found the following review helpful.
Poor content
By V. Isoz
Very disappointed relatively to what you can found on the Internet for free. I was expeting a lot concerning this book that was recommanded to me but the level is very low and subjects are given with real business cases.
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