| Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life 2004 Edition Contributor(s): Nikulin, M. S. (Editor), Balakrishnan, N. (Editor), Mesbah, Mounir (Editor) |
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ISBN: 081763231X ISBN-13: 9780817632311 Publisher: Birkhauser OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: June 2004 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Mathematics | Applied |
| Dewey: 519.5 |
| LCCN: 2004043766 |
| Series: Statistics for Industry and Technology |
| Physical Information: 1.31" H x 7" W x 10" (2.75 lbs) 555 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |