Statistical Models and Methods for Biomedical and Technical Systems | ISBN 9780817644642

Statistical Models and Methods for Biomedical and Technical Systems

herausgegeben von Filia Vonta, M.S. Nikulin, Nikolaos Limnios und Catherine Huber-Carol
Mitwirkende
Herausgegeben vonFilia Vonta
Herausgegeben vonM.S. Nikulin
Herausgegeben vonNikolaos Limnios
Herausgegeben vonCatherine Huber-Carol
Buchcover Statistical Models and Methods for Biomedical and Technical Systems  | EAN 9780817644642 | ISBN 0-8176-4464-4 | ISBN 978-0-8176-4464-2

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)

Statistical Models and Methods for Biomedical and Technical Systems

herausgegeben von Filia Vonta, M.S. Nikulin, Nikolaos Limnios und Catherine Huber-Carol
Mitwirkende
Herausgegeben vonFilia Vonta
Herausgegeben vonM.S. Nikulin
Herausgegeben vonNikolaos Limnios
Herausgegeben vonCatherine Huber-Carol

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.