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Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This selfcontained 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 'realworld' reliability theory, survival analysis, and related fields. Specific topics covered include:* cancer prognosis using survival forests* shortterm health problems related to air pollution: analysis using semiparametric generalized additive models* 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.
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