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|a UAMI
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100 |
1 |
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|a Kaminskiy, Mark,
|d 1946-
|
245 |
1 |
0 |
|a Reliability models for engineers and scientists /
|c Mark P. Kaminskiy.
|
260 |
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|a Boca Raton, FL :
|b CRC Press,
|c ©2013.
|
300 |
|
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|a 1 online resource (xi, 140 pages) :
|b illustrations
|
336 |
|
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
|
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|a online resource
|b cr
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347 |
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|a data file
|
520 |
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|a "A discussion of the basic reliability concepts and models, this book is suitable for students of reliability engineering as well as for those who wish a supplement on applied survival data analysis. The models discussed in the book are used in reliability, risk analysis, physics of failure, fracture mechanics, biological, pharmaceutical and medical studies. It is an up- to-date, concise, and informative handbook on reliability models, which does not require any special mathematical background. It also introduces a new concept of the Gini-type index"--
|c Provided by publisher
|
504 |
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|a Includes bibliographical references and index.
|
588 |
0 |
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|a Print version record.
|
505 |
0 |
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|a 1. Time-to-failure distributions and reliability measures -- 2. Probabilistic models for nonrepairable objects -- 3. Probabilistic models for repairable objects.
|
546 |
|
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|a English.
|
590 |
|
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Reliability (Engineering)
|x Mathematics.
|
650 |
|
0 |
|a Science
|x Data processing.
|
650 |
|
6 |
|a Fiabilité
|x Mathématiques.
|
650 |
|
6 |
|a Sciences
|x Informatique.
|
650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x Bayesian Analysis.
|2 bisacsh
|
650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Quality Control.
|2 bisacsh
|
650 |
|
7 |
|a Reliability (Engineering)
|x Mathematics
|2 fast
|
650 |
|
7 |
|a Science
|x Data processing
|2 fast
|
776 |
0 |
8 |
|i Print version:
|a Kaminskiy, Mark, 1946-
|t Reliability models for engineers and scientists.
|d Boca Raton, FL : Taylor & Francis, 2012
|z 9781466565920
|w (DLC) 2012031641
|w (OCoLC)809563384
|
856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781466565920/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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