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

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

  • DOI https://doi.org/10.1007/978-0-8176-4971-5
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Birkhäuser, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-8176-4970-8
  • Online ISBN 978-0-8176-4971-5
  • About this book