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 "e;real-world"e; reliability theory, survival analysis and related fields. Specific topics covered include: * non-parametric estimation of lifetimes of subjects exposed to radiation * statistical analysis of simultaneous degradation-mortality data with covariates of the aged * estimation of maintenance efficiency in semiparametric imperfect repair models * cancer prognosis using survival forests * short-term health problems related to air pollution: analysis using semiparametric generalized additive models* parametric models in accelerated life testing and fuzzy data * semiparametric models in the studies of aging and longevityThis 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.
Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life