© 2008

Statistical Models and Methods for Biomedical and Technical Systems

  • Filia Vonta
  • Mikhail Nikulin
  • Nikolaos Limnios
  • Catherine Huber-Carol

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages i-xxxvi
  2. Cox Models, Analyses, and Extensions

  3. Reliability Theory—Degradation Models

  4. Inferential Analysis

    1. H. Läuter, M. Nikulin, V. Solev
      Pages 187-198
    2. Paul Feigin, Gregory Gurevich, Yan Lumelskii
      Pages 199-211
    3. Hannelore Liero, Matthias Liero
      Pages 225-239
    4. Vassilly Voinov, Roza Alloyarova, Natalie Pya
      Pages 241-258
    5. Sneh Gulati, Samuel Shapiro
      Pages 259-274

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

* Estimation and testing for stochastic processes

* Generalizations of the Cox regression model

* Probabilistic and statistical models and methods in reliability

* Semi-parametric inference in survival analysis

* Models and methods in survival analysis, longevity, aging, and degradation

* Nonparametric estimation – Goodness-of-fit tests

* Accelerated life models

* Quality of life

* Analysis of censored data

* Adaptive and repeated measurements designs

* Measures of divergence, model selection, and survival models

* 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. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research.


Censoring Estimator Markov Master Patient Index Measure Regression Resampling STATISTICA Survival analysis best fit biostatistics model statistics

Editors and affiliations

  • Filia Vonta
    • 1
  • Mikhail Nikulin
    • 2
  • Nikolaos Limnios
    • 3
  • Catherine Huber-Carol
    • 4
  1. 1.Department of Mathematics and StatisticsUniversity of CyprusNicosiaCyprus
  2. 2.UFR Sciences et ModélisationUniversité Victor Segalen Bordeaux 2Bordeaux CedexFrance
  3. 3.Laboratoire de Mathématiques AppliquéesUniversité de Technologie de CompiègneCompiègne CedexFrance
  4. 4.Université Paris VParis Cedex 06France

Bibliographic information

Industry Sectors
Health & Hospitals
Public Health


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)