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Fisher information in censored data

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  • Wang, Yanhua
  • He, Shuyuan

Abstract

As a mixture of type I and type II censoring, (n,r,T) censoring is another important censoring model, which includes type I and type II censoring as its special cases. This paper establishes Fisher information formulae for (n,r,T) censored data. The formulae are given in terms of both distribution and hazard rate functions. The limits of the Fisher information formulae are also derived.

Suggested Citation

  • Wang, Yanhua & He, Shuyuan, 2005. "Fisher information in censored data," Statistics & Probability Letters, Elsevier, vol. 73(2), pages 199-206, June.
  • Handle: RePEc:eee:stapro:v:73:y:2005:i:2:p:199-206
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    References listed on IDEAS

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    1. Gertsbakh, I., 1995. "On the Fisher information in type-I censored and quantal response data," Statistics & Probability Letters, Elsevier, vol. 23(4), pages 297-306, June.
    2. Zheng, Gang, 2001. "A characterization of the factorization of hazard function by the Fisher information under Type II censoring with application to the Weibull family," Statistics & Probability Letters, Elsevier, vol. 52(3), pages 249-253, April.
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    Cited by:

    1. Park, Sangun & Balakrishnan, N., 2009. "On simple calculation of the Fisher information in hybrid censoring schemes," Statistics & Probability Letters, Elsevier, vol. 79(10), pages 1311-1319, May.
    2. Tzong-Ru Tsai & Yuhlong Lio & Jyun-You Chiang & Yi-Jia Huang, 2022. "A New Process Performance Index for the Weibull Distribution with a Type-I Hybrid Censoring Scheme," Mathematics, MDPI, vol. 10(21), pages 1-17, November.
    3. Balakrishnan, N. & Kundu, Debasis, 2013. "Hybrid censoring: Models, inferential results and applications," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 166-209.
    4. Park, Jeong-Soo & Yoon Kim, Tae, 2007. "Fisher information matrix for a four-parameter kappa distribution," Statistics & Probability Letters, Elsevier, vol. 77(13), pages 1459-1466, July.
    5. George Tzavelas, 2019. "A characterization of the Pareto distribution based on the Fisher information for censored data under non-regularity conditions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(4), pages 429-440, May.
    6. Park, Sangun & Balakrishnan, N. & Zheng, Gang, 2008. "Fisher information in hybrid censored data," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2781-2786, November.

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