Advances in Degradation Modeling

Applications to Reliability, Survival Analysis, and Finance

  • M.S. Nikulin
  • Nikolaos Limnios
  • N. Balakrishnan
  • Waltraud Kahle
  • Catherine Huber-Carol

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

Table of contents

  1. Front Matter
    Pages i-xxxviii
  2. Review, Tutorials, and Perspective

    1. Front Matter
      Pages 1-1
    2. Mohamed Abdel-Hameed
      Pages 17-25
    3. Kazuyuki Suzuki, Watalu Yamamoto, Takashi Hara, Md. Mesbahul Alam
      Pages 39-55
  3. Shock Models

    1. Front Matter
      Pages 56-56
    2. Allan Gut, Jürg Hüsler
      Pages 59-76
    3. Waltraud Kahle, Heide Wendt
      Pages 77-104
    4. Maxim Finkelstein, Ji Hwan Cha
      Pages 117-124
  4. Degradation Models

    1. Front Matter
      Pages 125-125
    2. Firoozeh Haghighi, Nazanin Nooraee, Narges Nazeri Rad
      Pages 147-155
    3. Marta A. Freitas, Thiago R. dos Santos, Magda C. Pires, Enrico A. Colosimo
      Pages 157-180
    4. S.S. Rasova, B.P. Harlamov
      Pages 181-194
    5. R. Viertl
      Pages 235-240
  5. Reliability Estimation and ALT

    1. Front Matter
      Pages 250-250
    2. Fabrice Guérin, M. Barreau, A. Charki, A. Todoskoff, S. Cloupet, D. Bigaud
      Pages 253-274
    3. V. Bagdonavičius, I. Masiulaitytė, M.S. Nikulin
      Pages 275-291
    4. V. Bagdonavičius, I. Masiulaitytė, M.S. Nikulin
      Pages 293-310
  6. Survival Function Estimation

    1. Front Matter
      Pages 321-321
    2. N. Kannan, D. Kundu, N. Balakrishnan
      Pages 355-369
  7. Competing Risk and Chaotic Systems

    1. Front Matter
      Pages 380-380
    2. Francis G. Pascual, Christopher Gast
      Pages 397-414
  8. Back Matter
    Pages 415-416

About this book


This volume—dedicated to William Q. Meeker on the occasion of his sixtieth birthday—is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics, and finance.

Specific topics covered include:

* Accelerated testing and inference

* Step-stress testing and inference

* Nonparametric inference

* Model validity in accelerated testing

* The point process approach

* Bootstrap methods in degradation analysis

* Exact inferential methods in reliability

* Dynamic perturbed systems

* Degradation models in statistics

Advances in Degradation Modeling is an excellent reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control, economics, and finance.


Estimator Excel Survival analysis accelerated testing bootstrap methods data analysis degradation analysis degradation models inference model validity nonparametric inference point-process approach statistical model step-stress testing

Editors and affiliations

  • M.S. Nikulin
    • 1
  • Nikolaos Limnios
    • 2
  • N. Balakrishnan
    • 3
  • Waltraud Kahle
    • 4
  • Catherine Huber-Carol
    • 5
  1. 1.Université Victor Segalen Bordeaux 2I’lnstitut de Mathématiques de BordeauxBordeaux CedexFrance
  2. 2.Département Génie Informatique, Labo. Mathématiques Appliquées CompiègneUniversité de Technologie de CompiègneCompiègneFrance
  3. 3.McMaster UniversityDepartment of Mathematics and StatisticsHamiltonCanada
  4. 4.Fak. Mathematik, Inst. Mathematische StochastikOtto-von-Guericke-UniversitätMagdeburgGermany
  5. 5.Laboratoire de Statistique MedicaleUniversité René Descartes, Paris 5ParisFrance

Bibliographic information