Skip to main content

The Role and Use of Data in Warranty Management

  • Chapter
  • 1186 Accesses

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Martz, H. F., and Waller, R. A. (1982), Bayesian Reliability Analysis, John Wiley and Sons, Inc., New York.

    Google Scholar 

  2. Blischke, W. R., and Murthy, D. N. P. (2000), Reliability, Modeling, Prediction and Optimization, John Wiley and Sons, New York.

    Google Scholar 

  3. Lawless, J. F. (1982), Statistical Models and Methods for Lifetime Data, John Wiley and Sons, New York.

    Google Scholar 

  4. Tufte, E. R. (1983), The Visual Display of Quantitative Information, Graphics Press, Cheshire, CT.

    Google Scholar 

  5. Tufte, E. R. (1997), Visual Explanations, Graphics Press, Cheshire, CT.

    Google Scholar 

  6. Draper, N. R., and Smith, H. (1998), Applied Regression Analysis, Third Edition, John Wiley and Sons, Inc., New York.

    Google Scholar 

  7. Kedem, B., and Fokianos, K. (2002), Regression Methods for Time Series Analysis, John Wiley and Sons, Inc., New York.

    Google Scholar 

  8. Meeker, W. Q., and Escobar, L. A. (1998), Statistical Methods for Reliability Data, John Wiley and Sons, Inc., New York.

    Google Scholar 

  9. Stuart, A., and Ord, J. K., Kendall’s Advanced Theory of Statistics, Vol. I, Sixth Edition, Oxford University Press, New York (1998).

    Google Scholar 

  10. Stuart, A., Ord, J. K., Arnold, A., and Kendall, M. (1999), Kendall’s Advanced Theory of Statistics: Classical Inference and the Linear Model, Oxford University Press, New York.

    Google Scholar 

  11. Nelson, W.(1982), Applied Life Data Analysis, John Wiley and Sons, New York.

    Google Scholar 

  12. McClave, J. T., and Benson, P. G. (1994), Statistics for Business and Economics, Sixth Edition, Macmillan, New York.

    Google Scholar 

  13. Murthy, D. N. P., Xie, M., and Jiang, R. (2003), Weibull Models, John Wiley and Sons, New York.

    Google Scholar 

  14. Bulmer, M., and Eccleston, J. (2003), “Photocopier Reliability Modeling Using Evolutionary Algorithms,” Chapter 18 in Blischke, W. R., and Murthy, D. N. P., Case Studies in Reliability and Maintenance, John Wiley and Sons, New York.

    Google Scholar 

  15. Iskandar, B., and Blischke, W. R., “Reliability and Warranty Analysis of a Motorcycle Based on Claims Data,” Chapter 27 in Blischke, W. R., and Murthy, D. N. P., Editors, (2003), Case Studies in Reliability and Maintenance, John Wiley and Sons, New York.

    Google Scholar 

  16. Suzuki, K., Karim, Md. R., and Wang, L. (2001), “Statistical Analysis of Reliability Warranty Data,” Chapter 21 in Handbook of Statistics (N. Balakrishnan, and C. R. Rao, Editors), Elsevier Science, Amsterdam.

    Google Scholar 

  17. Lawless, J. F. (1998). “Statistical analysis of product warranty data,” International Statistical Review 66:40–60.

    Google Scholar 

  18. Gertsbakh, I. B., and Kordonsky, K. B. (1998), “Parallel time scales and two-dimensional manufacturer and individual customer warranties,” IIE Transactions 30:1181–1189.

    Article  Google Scholar 

  19. Kalbfleisch, J. D., and Lawless, J. F. (1988), “Estimation of reliability in field-performance studies,” Technometrics 30:365–388.

    MathSciNet  Google Scholar 

  20. Robinson, J. A., and McDonald, G. C. (1991), “Issues Related to Field Reliability and Warranty Data,” Chapter 7 in Data Quality Control: Theory and Pragmatics (G. E. Liepens and V. R. R. Uppuluri, Editors), Marcel Dekker, New York.

    Google Scholar 

  21. Lawless, J., Hu, J., and Cao, J. (1995), “Methods for estimation of failure distributions and rates from automobile warranty data,” Lifetime Data Analysis 1: 227–240.

    Article  Google Scholar 

  22. Chen, J., Lynn, N. J., and Singpurwalla, N. D. (1996), “Forecasting Warranty Claims,” Chapter 31 in Blischke, W. R., and Murthy, D. N. P., Editors, Product Warranty Handbook, Marcel Dekker, New York.

    Google Scholar 

  23. Berry, M., and Linoff, G. (1997), Data Mining Techniques, John Wiley and Sons, New York.

    Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag London

About this chapter

Cite this chapter

(2006). The Role and Use of Data in Warranty Management. In: Warranty Management and Product Manufacture. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/1-84628-258-6_6

Download citation

  • DOI: https://doi.org/10.1007/1-84628-258-6_6

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-933-3

  • Online ISBN: 978-1-84628-258-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics