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Optimal confidence regions for the two-parameter exponential distribution based on records

Author

Listed:
  • A. Asgharzadeh

    (University of Mazandaran)

  • S. F. Bagheri

    (University of Mazandaran)

  • N. A. Ibrahim

    (Universiti Putra Malaysia)

  • M. R. Abubakar

    (Universiti Putra Malaysia)

Abstract

In this article, we propose two families of optimal confidence regions for the location and scale parameters of the two-parameter exponential distribution based on upper records. Constrained optimization problems are used to find the smallest-area confidence regions for the exponential parameters with a specified confidence level. Optimal prediction interval for the future records is also proposed. Two numerical examples as well as a simulation study, are presented for illustrative purposes. It is shown that the reduction in area of the optimal joint confidence region with respect to the existing confidence regions is substantial.

Suggested Citation

  • A. Asgharzadeh & S. F. Bagheri & N. A. Ibrahim & M. R. Abubakar, 2020. "Optimal confidence regions for the two-parameter exponential distribution based on records," Computational Statistics, Springer, vol. 35(1), pages 309-326, March.
    • Handle: RePEc:spr:compst:v:35:y:2020:i:1:d:10.1007_s00180-019-00914-x
    DOI: 10.1007/s00180-019-00914-x
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    References listed on IDEAS

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    1. R. Arabi Belaghi & M. Arashi & S. Tabatabaey, 2015. "Improved estimators of the distribution function based on lower record values," Statistical Papers, Springer, vol. 56(2), pages 453-477, May.
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