Parametric and semiparametric models are tools with a wide range of applications to reliability
survival analysis and quality of life. This self-contained volume examines these tools in
survey articles written by experts currently working on the development and evaluation of
models and methods. While a number of chapters deal with general theory several explore more
specific connections and recent results in real-world reliability theory survival analysis
and related fields. Specific topics covered include: * cancer prognosis using survival forests
* short-term health problems related to air pollution: analysis using semiparametric
generalized additive models * semiparametric models in the studies of aging and longevity This
book will be of use as a reference text for general statisticians theoreticians graduate
students reliability engineers health researchers and biostatisticians working in applied
probability and statistics.
