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Mathematical Reliability: An Expository Perspective

  • Book
  • © 2004

Overview

Editors:
  1. Refik Soyer

    1. Department of Management Science, The George Washington University, Washington, DC, USA

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  2. Thomas A. Mazzuchi

    1. Department of Engineering Management and Systems Engineering, The George Washington University, Washington, DC, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Nozer D. Singpurwalla

    1. Department of Statistics, The George Washington University, Washington, DC, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 67)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xxi
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  2. Networks and Systems

    1. Front Matter

      Pages 1-1
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    2. The Signature of a Coherent System and Its Applications in Reliability

      • Philip J. Boland, Francisco J. Samaniego
      Pages 3-30

    3. System Reliability Optimization: An Overview

      • Way Kuo, Rajendra Prasad
      Pages 31-54

    4. Methods for Assessing Network Reliability

      • Andrew W. Swift
      Pages 55-68

  3. Recurrent Events

    1. Front Matter

      Pages 69-69
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    2. Modelling Heterogeneity in Repeated Failure Time Data: A Hierarchical Bayesian Approach

      • Elja Arjas, Madhuchhanda Bhattacharjee
      Pages 71-86

    3. On Spatial Neutral to the Right Processes and Their Posterior Distributions

      • Kjell A. Doksum, Lancelot F. James
      Pages 87-103

    4. Models for Recurrent Events in Reliability and Survival Analysis

      • Edsel A. Peña, Myles Hollander
      Pages 105-123

  4. Information and Design

    1. Front Matter

      Pages 125-125
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    2. Information Functions for Reliability

      • Nader Ebrahimi, Ehsan S. Soofi
      Pages 127-159

    3. Design and Analysis of Experiments for Reliability Assessment and Improvement

      • Vijay N. Nair, Luis A. Escobar, Michael S. Hamada
      Pages 161-182

    4. Integrated Analysis of Computer and Physical Experimental Lifetime Data

      • Alyson G. Wilson, C. Shane Reese, Michael S. Hamada, Harry F. Martz
      Pages 183-194

  5. The Failure Rate Function and Burn-In

    1. Front Matter

      Pages 195-195
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    2. The Shape of Failure Rate Mixtures

      • Henry W. Block, Thomas H. Savits
      Pages 197-206

    3. The Burn-In Problem - A Discussion Of Sequential Stop and Go Strategies

      • Uwe Jensen, Fabio Spizzichino
      Pages 207-229

  6. Software Reliability and Random Environments

    1. Front Matter

      Pages 231-231
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    2. Managing Software Development Process Using System Reliability Data

      • I. Robert Chiang, Lynn Kuo
      Pages 233-248

    3. Reliability Modeling and Analysis in Random Environments

      • Süleyman Özekici, Refik Soyer
      Pages 249-273

  7. Reliability in Composites and Orthopedics

    1. Front Matter

      Pages 275-275
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Keywords

About this book

In this volume consideration was given to more advanced theoretical approaches and novel applications of reliability to ensure that topics having a futuristic impact were specifically included. Topics like finance, forensics, information, and orthopedics, as well as the more traditional reliability topics were purposefully undertaken to make this collection different from the existing books in reliability. The entries have been categorized into seven parts, each emphasizing a theme that seems poised for the future development of reliability as an academic discipline with relevance. The seven parts are networks and systems; recurrent events; information and design; failure rate function and burn-in; software reliability and random environments; reliability in composites and orthopedics, and reliability in finance and forensics. Embedded within the above are some of the other currently active topics such as causality, cascading, exchangeability, expert testimony, hierarchical modeling, optimization and survival analysis. These topics, when linked with utility theory, constitute the science base of risk analysis.

Editors and Affiliations

  • Department of Management Science, The George Washington University, Washington, DC, USA

    Refik Soyer

  • Department of Engineering Management and Systems Engineering, The George Washington University, Washington, DC, USA

    Thomas A. Mazzuchi

  • Department of Statistics, The George Washington University, Washington, DC, USA

    Nozer D. Singpurwalla

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