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Estimation for one- and two-parameter exponential distributions under multiple type-II censoring

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Abstract

In this paper, we derive explicit best linear unbiased estimators for one- and two-parameter exponential distributions when the available sample is multiply Type-II censored. Further, after noting that the maximum likelihood estimators do not exist explicitly, we propose some linear estimators by approximating the likelihood equations appropriately. Some illustrative examples from life-testing experiments are also presented.

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Authors and Affiliations

  1. Indian Statistical Institute, New Delhi, India

    K. Balasubramanian

  2. McMaster University, L8S 4K1, Hamilton, Ontario, Canada

    N. Balakrishnan

Authors
  1. K. Balasubramanian
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  2. N. Balakrishnan
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Balasubramanian, K., Balakrishnan, N. Estimation for one- and two-parameter exponential distributions under multiple type-II censoring. Statistical Papers 33, 203–216 (1992). https://doi.org/10.1007/BF02925325

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  • DOI: https://doi.org/10.1007/BF02925325

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