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A bivariate pareto model and its applications to reliability

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  • P. G. Sankaran
  • N. Unnikrishnan Nair

Abstract

We consider a bivariate Pareto distribution, as a generalization of the Lindley‐Singpurwalla model, by incorporating the influence of the operating conditions on a two‐component dependent system. The properties of the model and its applications to reliability analysis are discussed. © 1993 John Wiley & Sons, Inc.

Suggested Citation

  • P. G. Sankaran & N. Unnikrishnan Nair, 1993. "A bivariate pareto model and its applications to reliability," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(7), pages 1013-1020, December.
    • Handle: RePEc:wly:navres:v:40:y:1993:i:7:p:1013-1020
    DOI: 10.1002/1520-6750(199312)40:73.0.CO;2-7
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    Cited by:

    1. Nanami Taketomi & Kazuki Yamamoto & Christophe Chesneau & Takeshi Emura, 2022. "Parametric Distributions for Survival and Reliability Analyses, a Review and Historical Sketch," Mathematics, MDPI, vol. 10(20), pages 1-23, October.
    2. Konul Bayramoglu Kavlak, 2017. "Reliability and mean residual life functions of coherent systems in an active redundancy," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(1), pages 19-28, February.
    3. Shikhar Tyagi, 2024. "On bivariate Teissier model using Copula: dependence properties, and case studies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2483-2499, June.

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