Statistical Modeling for Degradation Data

  • Ding-Geng (Din) Chen
  • Yuhlong Lio
  • Hon Keung Tony Ng
  • Tzong-Ru Tsai

Part of the ICSA Book Series in Statistics book series (ICSABSS)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Review and Theoretical Framework

  3. Modeling and Experimental Designs

    1. Front Matter
      Pages 125-125
    2. Seong-Joon Kim, Suk Joo Bae
      Pages 127-147
    3. Tzong-Ru Tsai, Yuhlong Lio, Nan Jiang, Hon Keung Tony Ng, Ding-Geng (Din) Chen
      Pages 149-170
    4. N. Balakrishnan, Chih-Chun Tsai, Chien-Tai Lin
      Pages 171-191
  4. Applications

    1. Front Matter
      Pages 209-209
    2. Mei-Ling T. Lee, G. A. Whitmore
      Pages 211-229
    3. Yimeng Xie, Zhongnan Jin, Yili Hong, Jennifer H. Van Mullekom
      Pages 231-251
    4. Man Ho Ling, Hon Keung Tony Ng, Kwok-Leung Tsui
      Pages 253-266
    5. Zhongnan Jin, Yimeng Xie, Yili Hong, Jennifer H. Van Mullekom
      Pages 267-291
    6. Shuang He, Chuanhai Liu, Xiao Wang
      Pages 293-306
    7. Jacq Crous, Daniel Nicolas Wilke, Schalk Kok, Ding-Geng (Din) Chen, Stephan Heyns
      Pages 335-364
  5. Back Matter
    Pages 365-376

About this book


This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures.

The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.


Statistical Models Degradation Models Reliability Models Accelerated Degradation Data Non-Destructive Destructive Degradation Tests

Editors and affiliations

  • Ding-Geng (Din) Chen
    • 1
  • Yuhlong Lio
    • 2
  • Hon Keung Tony Ng
    • 3
  • Tzong-Ru Tsai
    • 4
  1. 1.School of Social Work & Department of Biostatistics, Department of StatisticsUniversity of North Carolina, University of PretoriaChapel HillUSA
  2. 2.Department of Mathematical SciencesUniversity of South DakotaVermillionUSA
  3. 3.Department of Statistical ScienceSouthern Methodist UniversityDallasUSA
  4. 4.Department of StatisticsTamkang UniversityNew Taipei CityTaiwan

Bibliographic information

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