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Exact inference for progressively Type-I censored exponential failure data

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  • N. Balakrishnan
  • Donghoon Han
  • G. Iliopoulos

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Suggested Citation

  • N. Balakrishnan & Donghoon Han & G. Iliopoulos, 2011. "Exact inference for progressively Type-I censored exponential failure data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(3), pages 335-358, May.
    • Handle: RePEc:spr:metrik:v:73:y:2011:i:3:p:335-358
    DOI: 10.1007/s00184-009-0281-0
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    References listed on IDEAS

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    1. Majumdar, Hiranmay & Sen, Pranab Kumar, 1978. "Nonparametric tests for multiple regression under progressive censoring," Journal of Multivariate Analysis, Elsevier, vol. 8(1), pages 73-95, March.
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    Cited by:

    1. Jia, Xiang & Wang, Dong & Jiang, Ping & Guo, Bo, 2016. "Inference on the reliability of Weibull distribution with multiply Type-I censored data," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 171-181.
    2. Mahmoud R. Mahmoud & Hiba Z. Muhammed & Ahmed R. El-Saeed, 2023. "Inference for Generalized Inverted Exponential Distribution Under Progressive Type-I Censoring Scheme in Presence of Competing Risks Model," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 43-76, February.
    3. Ibrahim Elbatal & Naif Alotaibi & Salem A. Alyami & Mohammed Elgarhy & Ahmed R. El-Saeed, 2022. "Bayesian and Non-Bayesian Estimation of the Nadaraj ah–Haghighi Distribution: Using Progressive Type-1 Censoring Scheme," Mathematics, MDPI, vol. 10(5), pages 1-16, February.
    4. van Bentum, Thomas & Cramer, Erhard, 2019. "Stochastic monotonicity of MLEs of the mean for exponentially distributed lifetimes under hybrid censoring," Statistics & Probability Letters, Elsevier, vol. 148(C), pages 1-8.
    5. Mahmood Kharrati-Kopaei & Ahad Malekzadeh, 2019. "On the exact distribution of the likelihood ratio test for testing the homogeneity of scale parameters of several two-parameter exponential distributions: complete and censored samples," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(4), pages 409-427, May.

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