Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life
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Beschreibung
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.
Self-contained volume examining new results in applied probability and statistics Contains a broad range of survey articles written by experts currently working on the development and evaluation of new models and methods in the field While many books deal with general theory, several chapters in this volume explore more specific connections and recent results in "real-world" reliability theory having applications to such areas as biostatistics, cancer prognosis, air pollution analysis, and aging
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.
Autor*in
M.S. Nikulin
Themen in »Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life«
Censoring Estimator Likelihood Markov process Poisson process Probability theory Regression analysis STATISTICA Survival analysis Time series Truncated Data best fit diffusion process expectation–maximization algorithm statistics