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Optimal design of inspection times for interval censoring

Author

Listed:
  • Nadja Malevich

    (TU Dortmund University)

  • Christine H. Müller

    (TU Dortmund University)

Abstract

We treat optimal equidistant and optimal non-equidistant inspection times for interval censoring of exponential distributions. We provide in particular a new approach for determining the optimal non-equidistant inspection times. The resulting recursive formula is related to a formula for optimal spacing of quantiles for asymptotically best linear estimates based on order statistics and to a formula for optimal cutpoints by the discretisation of continuous random variables. Moreover, we show that by the censoring with the optimal non-equidistant inspection times as well as with optimal equidistant inspection times, there is no loss of information if the number of inspections is converging to infinity. Since optimal equidistant inspection times are easier to calculate and easier to handle in practice, we study the efficiency of optimal equidistant inspection times with respect to optimal non-equidistant inspection times. Moreover, since the optimal inspection times are only locally optimal, we also provide some results concerning maximin efficient designs.

Suggested Citation

  • Nadja Malevich & Christine H. Müller, 2019. "Optimal design of inspection times for interval censoring," Statistical Papers, Springer, vol. 60(2), pages 449-464, April.
  • Handle: RePEc:spr:stpapr:v:60:y:2019:i:2:d:10.1007_s00362-018-01067-7
    DOI: 10.1007/s00362-018-01067-7
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    References listed on IDEAS

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    1. Bong‐Jin Yum & Seung‐Cheol Choi, 1989. "Optimal design of accelerated life tests under periodic inspection," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(6), pages 779-795, December.
    2. Sun‐Keun Seo & Bong‐Jin Yum, 1991. "Accelerated life test plans under intermittent inspection and type‐I censoring: The case of weibull failure distribution," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(1), pages 1-22, February.
    3. Inoue L.Y.T. & Parmigiani G., 2002. "Designing Follow-Up Times," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 847-858, September.
    4. Dette, Holger & Biedermann, Stefanie, 2003. "Robust and Efficient Designs for the Michaelis-Menten Model," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 679-686, January.
    5. Wang, Shuying & Wang, Chunjie & Wang, Peijie & Sun, Jianguo, 2018. "Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data," Computational Statistics & Data Analysis, Elsevier, vol. 125(C), pages 1-9.
    6. Shuo-Jye Wu & Syuan-Rong Huang, 2010. "Optimal progressive group-censoring plans for exponential distribution in presence of cost constraint," Statistical Papers, Springer, vol. 51(2), pages 431-443, June.
    7. Tzong-Ru Tsai & Chin-Wei Lin, 2010. "Acceptance sampling plans under progressive interval censoring with likelihood ratio," Statistical Papers, Springer, vol. 51(2), pages 259-271, June.
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