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Estimation of parameters of a right truncated exponential distribution

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Abstract

The maximum likelihood, moment and mixture of the estimators are for samples from the right truncated exponential distribution. The estimators are compared empirically when all the parameters are unknown; their bias and mean square error are investigated with the help of numerical technique. We have shown that these estimators are asymptotically unbiased. At the end, we conclude that mixture estimators are better than the maximum likelihood and moment estimators.

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Authors and Affiliations

  1. Department of Statistics, University of Mumbai, Vidyanagari Santacruz(E), Mumbai, 400098, India

    Ulhas J. Dixit

  2. Department of Statistics, Tehran Payame Noor University, Fallahpour St., Nejatollahi St, Tehran, Iran

    Parviz N. Nasiri

Authors
  1. Ulhas J. Dixit
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  2. Parviz N. Nasiri
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Correspondence to Ulhas J. Dixit.

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Dixit, U.J., Nasiri, P.N. Estimation of parameters of a right truncated exponential distribution. Statistical Papers 49, 225–236 (2008). https://doi.org/10.1007/s00362-006-0008-5

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  • DOI: https://doi.org/10.1007/s00362-006-0008-5

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