Free Download Failure Rate Modelling for Reliabiliy & Risk By Maxim Finkelstein
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Reliability theory, failure rate (hazard rate, force of mortality) modeling, and its extensions to systems functioning in random environments and repairable systems are the main topics of “Failure Rate Modeling for Reliability and Risk.” One of the most important probabilistic features for several fields, such as risk analysis, survival analysis, dependability, and demography, is the failure rate. In addition to covering some significant applications where the failure rate is crucial, the book offers a methodical analysis of the failure rate and associated indices.
Along with a few actuarial, biological, and demographic examples, applications in engineering systems are examined. Researchers and advanced students in applied statistics and reliability engineering, as well as demographers, econometricians, actuaries, and many other researchers with a mathematical bent, will find the book’s overview of this wide-ranging and multidisciplinary topic to be quite helpful.
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From the Back cover
Reliability theory and, more especially, failure rate modeling (also known as the hazard rate or the force of mortality) and its generalizations, on systems functioning in random environments and on repairable systems, are the main topics of Failure Rate Modelling for Reliability and Risk. One of the most important probabilistic features for several fields, such as risk analysis, survival analysis, dependability, and demography, is the failure rate.
Failure Rate Modelling for Reliability and Risk covers several significant applications where the failure rate is a key factor and provides a methodical analysis of the failure rate and associated indices. Along with a few actuarial, biological, and demographic examples, applications in engineering systems are examined.
Failure Rate Modelling for Reliability and Risk, which covers material that was previously only available in the journal literature, offers an overview of this wide-ranging and multidisciplinary topic that will be very helpful to researchers and advanced students in applied statistics and reliability engineering, as well as to demographers, econometricians, actuaries, and many other researchers with a mathematical bent.
About the Author
Dr. Maxim Finkelstein is a visiting researcher at the Max Planck Institute for Demographic Research in Rostock, Germany, and a professor at the University of the Free State’s Department of Mathematical Statistics in the Republic of South Africa. Reliability, survival analysis, risk and safety modeling, applied stochastic processes, stochastic aging, stochastic ordering, and stochastics in demography are his primary areas of interest.
