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Some Issues in the Collection and Analysis of Field Reliability Data

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Survival Analysis: State of the Art

Part of the book series: Nato Science ((NSSE,volume 211))

Abstract

Sources of data on field reliability or performance of manufactured products include field tracking (follow-up) studies, warranty and failure reports, and surveys. We discuss these sources in relation to the estimation of failure time distributions and event rates. Important issues include missing information, reporting delays, the need to combine information from different sources, and the possibility of selection bias.

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References

  • Andersen, P. K. and Borgan, O. (1985). Counting process models for life history data: A review (with discussion). Scandinavian Journal of Statistics 12, 97–158.

    MathSciNet  MATH  Google Scholar 

  • Bishop, Y. M. M., Fienberg, S. E. and Holland, P. W. (1975). Discrete Multivariate Analysis, MIT Press, Cambridge, Mass.

    MATH  Google Scholar 

  • Cox, D. R. (1969). Some sampling problems in technology. In New Developments in Survey Sampling (N.L. Johnson and H. Smith, Jr., Eds.), John Wiley, New York, 506–527.

    Google Scholar 

  • Cox, D. R. and Oakes, D. (1984). Analysis of Survival Data. Chapman and Hall, New York.

    Google Scholar 

  • Diamond, I. A. and McDonald, J. W. (1991). Analysis of current status data. In Demographic Applications of Event History Analysis (J. Trussel, R. Hankinson and J. Tilton, Eds.), Oxford University Press, Oxford.

    Google Scholar 

  • Erto, P. (1989). Reliability assessment by repair shops via maintenance data. Journal of Applied Statistics 16, 303–313.

    Article  Google Scholar 

  • Farewell, V. T. and Cox, D. R. (1979). A note on multiple time scales in life testing. Applied Statistics 28, 73–75.

    Article  Google Scholar 

  • Kalbfleisch, J. D. and Lawless, J. F. (1988). Estimation of reliability from field performance studies (with discussion). Technometrics 30, 365–388.

    MathSciNet  MATH  Google Scholar 

  • Kalbfleisch, J. D. and Lawless, J. F. (1991a). Truncated data arising in warranty and field performance studies, and some useful statistical methods. Journal of Quality Technology. To Appear.

    Google Scholar 

  • Kalbfleisch, J. D. and Lawless, J. F. (1991b). Regression models for right truncated data with application to AIDS incubation times and reporting lags. Statistica Sinica 1, 19–32.

    MATH  Google Scholar 

  • Kalbfleisch, J. D., Lawless, J. F. and Robinson, J. A. (1991). Methods for the analysis and prediction of warranty claims. Technometrics 33, 273–285.

    Article  MATH  Google Scholar 

  • Kalbfleisch, J. D. and Prentice, R. L. (1980). The Statistical Analysis of Failure Time Data. John Wiley, New York.

    MATH  Google Scholar 

  • Keiding, N. (1990). Statistical inference in the Lexis diagram. Philosophical Transactions of the Royal Society of London A332, 487–509.

    Google Scholar 

  • Keiding, N. (1991a). Age-specific incidence and prevalence: A statistical perspective. (with discussion). Journal of the Royal Statistical Society Series A 154, in press.

    Google Scholar 

  • Keiding, N. (1992). Independent delayed entry, In Survival Analysis: State of the Art. (J. Klein and P. Goel, Eds.), 309-326.

    Google Scholar 

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

    MATH  Google Scholar 

  • Oakes, D. (1989). An equivalency model for multiple time scales in survival analysis. Unpublished manuscript.

    Google Scholar 

  • Prentice, R. L. (1986). A case-cohort design for epidemiologic cohort studies and disease prevention trials. Biometrika 73, 1–11.

    Article  MathSciNet  MATH  Google Scholar 

  • Robinson, J. A. and McDonald, G. C. (1987). Issues related to field reliability and warranty data. General Motors Research Labs, Report GMR-5949.

    Google Scholar 

  • Suzuki, K. (1985a). Estimation of lifetime parameters from incomplete field data. Technometrics 27, 263–272.

    Article  MathSciNet  MATH  Google Scholar 

  • Suzuki, K. (1985b). Nonparametric estimation of lifetime distributions from a record of failures and follow-ups. Journal of the American Statistical Association 80, 68–72.

    Article  MathSciNet  MATH  Google Scholar 

  • Tsai, W.-Y. (1990). Testing the assumption of independence between truncated time and failure time. Biometrika 77, 169–178.

    Article  MathSciNet  MATH  Google Scholar 

  • Vardi, Y. (1982) Nonparametric estimation in the presence of length bias. Annals of Statistics 10, 616–620.

    Article  MathSciNet  MATH  Google Scholar 

  • Vardi, Y. (1988). Statistical models for intercepted data. Journal of the American Statistical Association. 83, 183–197.

    Article  MathSciNet  MATH  Google Scholar 

  • Woodroffe, M. (1985). Estimating a distribution function with truncated data. Annals of Statistics 13, 163–177.

    Article  MathSciNet  Google Scholar 

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© 1992 Springer Science+Business Media Dordrecht

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Lawless, J.F., Kalbfleisch, J.D., Blumenthal, S. (1992). Some Issues in the Collection and Analysis of Field Reliability Data. In: Klein, J.P., Goel, P.K. (eds) Survival Analysis: State of the Art. Nato Science, vol 211. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7983-4_9

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  • DOI: https://doi.org/10.1007/978-94-015-7983-4_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4133-3

  • Online ISBN: 978-94-015-7983-4

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