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Mathematical and Statistical Models and Methods in Reliability

Applications to Medicine, Finance, and Quality Control

  • V.V. Rykov
  • N. Balakrishnan
  • M.S. Nikulin

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

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Reliability Models, Methods, and Optimization

  3. Statistical Methods in Reliability

    1. Front Matter
      Pages 175-175
    2. Vilijandas Bagdonavičius, Inga Masiulaitytė, Mikhail Nikulin
      Pages 177-191
    3. Alex Karagrigoriou, Kyriacos Mattheou, Panayiotis Panayiotou
      Pages 243-254
    4. Henning Läuter, Ayad M. Ramadan
      Pages 255-264
    5. Mikhail S. Nikulin, Valentin N. Solev
      Pages 289-295
    6. Watalu Yamamoto, Chiharu Kumazaki, Kazuyuki Suzuki
      Pages 307-313
  4. Applications

    1. Front Matter
      Pages 315-315
    2. Maxim Finkelstein, Ji Hwan Cha
      Pages 335-344
    3. Fabrice Guérin, Mihaela Barreau, Amel Demri, Sylvain Cloupet, Julien Hersant, Ridha Hambli
      Pages 345-357
    4. Mei-Ling Ting Lee, G. A. Whitmore, Bernard Rosner
      Pages 359-370
    5. Robin Lundgren, Dmitrii S. Silvestrov
      Pages 371-389
    6. R. Muzaffer Musal, Refik Soyer
      Pages 391-399
    7. Filia Vonta, Alex Karagrigoriou
      Pages 401-413
  5. Reliability Computer Tools

    1. Front Matter
      Pages 415-415
    2. Ekaterina V. Chimitova, Boris Yu. Lemeshko, Stanislav B. Lemeshko, Sergey N. Postovalov, Andrey P. Rogozhnikov
      Pages 417-432
    3. Boris Yu. Lemeshko, Stanislav B. Lemeshko, Kseniya A. Akushkina, Mikhail S. Nikulin, Noureddine Saaidia
      Pages 433-453
  6. Back Matter
    Pages 455-457

About this book

Introduction

An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability.

Written by recognized experts in the field of reliability, the contributions cover a wide range of models, methods, and applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation.

The volume is thematically organized into four major sections:

* Reliability Models, Methods, and Optimization;

* Statistical Methods in Reliability;

* Applications;

* Computer Tools for Reliability.

Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Keywords

Censoring Excel Observable Resampling Survival analysis aircraft engineering calculus carcinogenesis studies copula data analysis empirical B fatigue, wear, and degradation models medicine oil and gas industry reliability engineering

Editors and affiliations

  • V.V. Rykov
    • 1
  • N. Balakrishnan
    • 2
  • M.S. Nikulin
    • 3
  1. 1.Department of Applied MathematicsGubkin Russian State University of Oil aMoskvaRussian Federation
  2. 2.McMaster UniversityDepartment of Mathematics and StatisticsHamiltonCanada
  3. 3.Université Victor Segalen Bordeaux 2I’lnstitut de Mathématiques de BordeauxBordeaux CedexFrance

Bibliographic information