Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life - (Hardcover)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>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. <p></p>Specific topics covered include: <p></p> <p></p> <p>* non-parametric estimation of lifetimes of subjects exposed to radiation </p> <p>* statistical analysis of simultaneous degradation-mortality data with covariates of the aged </p> <p>* estimation of maintenance efficiency in semiparametric imperfect repair models </p> <p>* cancer prognosis using survival forests </p> <p>* short-term health problems related to air pollution: analysis using semiparametric generalized additive models</p> <p>* parametric models in accelerated life testing and fuzzy data </p> <p>* semiparametric models in the studies of aging and longevity</p> <p></p> <p>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.</p>
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