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Stochastic Order and MLE of the Mean of the Exponential Distribution

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Abstract

The maximum likelihood estimator of the mean of the exponential distribution, based on various data structures has been studied extensively. However, the order preserving property of these estimators is not found in the literature. This article discusses this property. Suppose that two samples of the same size are drawn from two independent exponential populations that have different means. It is shown in this article that the regular stochastic ordering holds between the two MLEs corresponding to the two exponential means, based on various censored data. In particular, conditions are given on inspection times so that the result is also true for grouped data.

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References

  • N. Balakrishnan and A. P. Basu (Eds.), The Exponential Distribution: Theory, Methods and Applications, Gordon and Breach Publishers: Langhorne, Pennsylvania, 1995.

    Google Scholar 

  • N. Balakrishnan and A. C. Cohen, Order Statistics and Inference: Estimation Methods, Academic Press: San Diego, 1991.

    Google Scholar 

  • N. Balakrishnan and J. Mi, “Order preserving properties of maximum likelihood estimator,” Journal of Statistical Planning and Inference vol. 98 pp. 89-99, 2001.

    Google Scholar 

  • Z. Chen and J. Mi, “Confidence interval for the mean of exponential distribution based on grouped data,” IEEE Trans. Reliability vol. 45 pp. 671-677, 1996.

    Google Scholar 

  • S. Ehrenfeld, “Some experimental design problem in attribute life testing,” J. Amer. Statistical Assoc. vol. 57 pp. 668-679, 1962.

    Google Scholar 

  • G. Gan, “MLE are stochastically increasing if likelihoods are unimodal,” Statistics & Probability Letters vol. 40 pp. 289-292, 1998.

    Google Scholar 

  • G. Kulldorff, Estimation from Grouped and Partially Grouped Samples, John Wiley & Sons, 1961.

  • J. F. Lawless, Statistical Models and Methods for Lifetime Data, John Wiley & Sons, 1982.

  • T. Lindvall, Lectures on the Coupling Method, John Wiley & Sons, 1992.

  • T. Robertson, F. T. Wright, and R. L. Dykstra, Order Restricted Statistical Inference, John Wiley & Sons, 1988.

  • S. K. Seo and B. J. Yum, “Estimation methods for the mean of the exponential distribution based on grouped and censored data,” IEEE Trans. Reliability vol. 42 pp. 87-96, 1993.

    Google Scholar 

  • M. Shaked and J. G. Shanthikumar, Stochastic Orders and Their Applications, Academic Press, 1994.

  • R. Viveros and N. Balakrishnan, “Interval estimation of parameters of life from progressively censored data,” Technometrics vol. 36(1) pp. 84-91, 1994.

    Google Scholar 

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Balakrishnan, N., Brain, C. & Mi, J. Stochastic Order and MLE of the Mean of the Exponential Distribution. Methodology and Computing in Applied Probability 4, 83–93 (2002). https://doi.org/10.1023/A:1015709631421

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  • DOI: https://doi.org/10.1023/A:1015709631421

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