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Complex Models for Parametric Analysis of 1-D Warranty Data

In: Warranty Data Collection and Analysis

Author

Listed:
  • Wallace R. Blischke
  • M. Rezaul Karim

    (Rajshahi University)

  • D. N. Prabhakar Murthy

    (The University of Queensland)

Abstract

In Chaps. 11 and 12 , 1-D warranty claims data were analyzed using standard lifetime distributions under the assumption that the underlying population is homogeneous, that is, there are no quality variations in production and all customers are similar in terms of their usage intensity, operating environment, etc. In real life, however, the assumption of homogeneity may not hold for many products and the underlying population may consist of several subpopulations with the reliability of the items depending on explanatory variables such as operating environment, manufacturing periods, vendors, etc. The parametric approach to analysis of data in these cases requires the use of more complex model formulations. This Chapter presents some of these complex models (competing risk, mixture, AFT, PH and parametric regression models) and the analysis of 1-D warranty data using these models.

Suggested Citation

  • Wallace R. Blischke & M. Rezaul Karim & D. N. Prabhakar Murthy, 2011. "Complex Models for Parametric Analysis of 1-D Warranty Data," Springer Series in Reliability Engineering, in: Warranty Data Collection and Analysis, chapter 0, pages 319-347, Springer.
    • Handle: RePEc:spr:ssrchp:978-0-85729-647-4_13
    DOI: 10.1007/978-0-85729-647-4_13
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