Editors:
- Real-world applications to epidemiology, aging, survival analysis, and modeling in the biosciences and medicine
- Chapters deal primarily with the mathematical aspects of survival analysis and reliability
- Features a careful selection of invited and contributed papers
- Demonstrates the significance of current research on the theory, methods, and applications of the field
- Accessible to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Industry and Technology (SIT)
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Table of contents (37 chapters)
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Front Matter
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Cox Models, Analyses, and Extensions
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Reliability Theory—Degradation Models
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Inferential Analysis
About this book
An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field.
The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: applications in epidemiology; probabilistic and statistical models and methods in reliability; models and methods in survival analysis, longevity, aging, and degradation; accelerated life models; quality of life; new statistical challenges in genomics.
The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering.
Reviews
From the reviews:
“This edited volume, the outcome of the International Conference on Statistical Models for Biological and Technical Systems, showcases the current research interests in survival analysis and reliability. … The book’s style and format are fine. Its organization makes it useful for its target audience. … The volume includes 37 tables and 55 figures, a nice feature.” (Technometrics, Vol. 51 (2), May, 2009)
Editors and Affiliations
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Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus
Filia Vonta
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UFR Sciences et Modélisation, Université Victor Segalen Bordeaux 2, Bordeaux Cedex, France
Mikhail Nikulin
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Laboratoire de Mathématiques Appliquées, Université de Technologie de Compiègne, Compiègne Cedex, France
Nikolaos Limnios
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Université Paris V, Paris Cedex 06, France
Catherine Huber-Carol
Bibliographic Information
Book Title: Statistical Models and Methods for Biomedical and Technical Systems
Editors: Filia Vonta, Mikhail Nikulin, Nikolaos Limnios, Catherine Huber-Carol
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-0-8176-4619-6
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Birkhäuser Boston 2008
Hardcover ISBN: 978-0-8176-4464-2Published: 12 September 2008
eBook ISBN: 978-0-8176-4619-6Published: 05 March 2008
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: XXXVI, 556
Number of Illustrations: 55 b/w illustrations
Topics: Epidemiology, Biomedical Engineering and Bioengineering, Applications of Mathematics, Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Mathematical Modeling and Industrial Mathematics