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Maxim Finkelstein - Failure Rate Modelling for Reliability and Risk - 9781848009851 - V9781848009851
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Failure Rate Modelling for Reliability and Risk

€ 182.43
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Description for Failure Rate Modelling for Reliability and Risk Hardback. Finkelstein's systematic study focuses on the broad subject of reliability theory, and specifically, on failure rate (hazard rate, force of mortality) modeling and its generalizations to random environment systems, as well as to repairable systems. Series: Springer Series in Reliability Engineering. Num Pages: 290 pages, 1, black & white illustrations. BIC Classification: TGPR. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 603.

“Failure Rate Modeling for Reliability and Risk” focuses on reliability theory, and to the failure rate (hazard rate, force of mortality) modeling and its generalizations to systems operating in a random environment and to 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. The book 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 ... Read more

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Product Details

Format
Hardback
Publication date
2008
Publisher
Springer London Ltd United Kingdom
Number of pages
290
Condition
New
Series
Springer Series in Reliability Engineering
Number of Pages
290
Place of Publication
England, United Kingdom
ISBN
9781848009851
SKU
V9781848009851
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Maxim Finkelstein
Dr Maxim Finkelstein is a Professor at the Department of Mathematical Statistics, University of the Free State, Republic of South Africa and a visiting researcher at the Max Planck Institute for Demographic Research, Rostock, Germany. His main research interests are; reliability, survival analysis, risk and safety modeling, applied stochastic processes, stochastic aging, stochastic ordering, and stochastics in demography.

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