This book deals with the mathematical aspects of survival
analysis and reliability as well as other topics, reflecting recent
developments in the following areas: applications in epidemiology;
probabilistic and statistical models and methods in reliability;
models and methods in survival analysis, longevity, aging, and
degradation; accelerated life models; quality of life; new
statistical challenges in genomics.
The work will be useful to a broad interdisciplinary readership
of researchers and practitioners in applied probability and
statistics, industrial statistics, biomedicine, biostatistics, and
engineering.
General
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