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Birkhäuser

Statistical Models and Methods for Biomedical and Technical Systems

  • Book
  • © 2008

Overview

Editors:
  1. Filia Vonta

    1. Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus

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    You can also search for this editor in PubMed   Google Scholar

  2. Mikhail Nikulin

    1. UFR Sciences et Modélisation, Université Victor Segalen Bordeaux 2, Bordeaux Cedex, France

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    You can also search for this editor in PubMed   Google Scholar

  3. Nikolaos Limnios

    1. Laboratoire de Mathématiques Appliquées, Université de Technologie de Compiègne, Compiègne Cedex, France

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    You can also search for this editor in PubMed   Google Scholar

  4. Catherine Huber-Carol

    1. Université Paris V, Paris Cedex 06, France

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  • 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)

  1. Front Matter

    Pages i-xxxvi
    Download chapter PDF

  3. Reliability Theory—Degradation Models

    1. Virtual (Biological) Age Versus Chronological Age

      • Maxim Finkelstein
      Pages 69-81

    2. A Competing Risks Model for Degradation and Traumatic Failure Times

      • Vincent Couallier
      Pages 83-93

    3. Generalized Birth and Death Processes as Degradation Models

      • Vladimir Rykov
      Pages 95-107

    4. Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability

      • C. T. Barker, M. J. Newby
      Pages 109-125

    5. Optimal Incomplete Maintenance for Weibull Failure Processes

      • Waltraud Kahle
      Pages 127-135

    6. Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation?

      • Subrata Kundu, Tapan K. Nayak, Sudip Bose
      Pages 137-152

    7. Multistate System Reliability Assessment by Using the Markov Reward Model

      • Anatoly Lisnianski, Ilia Frenkel, Lev Khvatskin, Yi Ding
      Pages 153-168

  4. Inferential Analysis

    1. Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme

      • Paul Deheuvels, Gérard Derzko
      Pages 171-186

    2. Estimation of Rescaled Distribution

      • H. Läuter, M. Nikulin, V. Solev
      Pages 187-198

    3. Nested Plans for Sequential Change Point Detection—The Parametric Case

      • Paul Feigin, Gregory Gurevich, Yan Lumelskii
      Pages 199-211

    4. Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring

      • Agathe Guilloux
      Pages 213-224

    5. Testing the Acceleration Function in Lifetime Models

      • Hannelore Liero, Matthias Liero
      Pages 225-239

    6. Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing

      • Vassilly Voinov, Roza Alloyarova, Natalie Pya
      Pages 241-258

    7. Goodness-of-Fit Tests for Pareto Distribution

      • Sneh Gulati, Samuel Shapiro
      Pages 259-274
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Keywords

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

  • Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus

    Filia Vonta

  • UFR Sciences et Modélisation, Université Victor Segalen Bordeaux 2, Bordeaux Cedex, France

    Mikhail Nikulin

  • Laboratoire de Mathématiques Appliquées, Université de Technologie de Compiègne, Compiègne Cedex, France

    Nikolaos Limnios

  • Université Paris V, Paris Cedex 06, France

    Catherine Huber-Carol

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