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03372nam a22005535i 4500 |
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978-1-84800-986-8 |
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DE-He213 |
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20151204171144.0 |
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cr nn 008mamaa |
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100301s2008 xxk| s |||| 0|eng d |
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|a 9781848009868
|9 978-1-84800-986-8
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|a 10.1007/978-1-84800-986-8
|2 doi
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|d GrThAP
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|a TA169.7
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|a TA403.6
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|a TGPR
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|a TEC032000
|2 bisacsh
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|a 658.56
|2 23
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|a Finkelstein, Maxim.
|e author.
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|a Failure Rate Modelling for Reliability and Risk
|h [electronic resource] /
|c by Maxim Finkelstein.
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|a London :
|b Springer London,
|c 2008.
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| 300 |
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|a XII, 290 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Series in Reliability Engineering,
|x 1614-7839
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| 505 |
0 |
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|a Failure Rate and Mean Remaining Lifetime -- More on Exponential Representation -- Point Processes and Minimal Repair -- Virtual Age and Imperfect Repair -- Mixture Failure Rate Modelling -- Limiting Behaviour of Mixture Failure Rates -- ‘Constructing’ the Failure Rate -- Failure Rate of Software -- Demographic and Biological Applications.
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| 520 |
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|a Failure Rate Modelling for Reliability and Risk focuses on reliability theory and, specifically, on the failure rate (the hazard rate, the force of mortality) modelling and its generalizations, on systems operating in a random environment and on repairable systems. The failure rate is one of the crucial probabilistic characteristics for a number of disciplines; including reliability, survival analysis, risk analysis and demography. Failure Rate Modelling for Reliability and Risk presents a systematic study of the failure rate and related indices, and covers a number of important applications where the failure rate plays the major role. Applications in engineering systems are studied, together with some actuarial, biological and demographic examples. Covering material previously available only in the journal literature, Failure Rate Modelling for Reliability and Risk provides a survey of this broad and interdisciplinary subject which will be invaluable to researchers and advanced students in reliability engineering and applied statistics, as well as to demographers, econometricians, actuaries and many other mathematically oriented researchers.
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| 650 |
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|a Engineering.
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| 650 |
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|a Probabilities.
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| 650 |
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|a Statistics.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Quality control.
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| 650 |
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|a Reliability.
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| 650 |
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|a Industrial safety.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Quality Control, Reliability, Safety and Risk.
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| 650 |
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|a Probability Theory and Stochastic Processes.
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| 650 |
2 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9781848009851
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| 830 |
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|a Springer Series in Reliability Engineering,
|x 1614-7839
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-1-84800-986-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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