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:
* 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
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.
General
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