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On the comparison of the Fisher information of the log-normal and generalized Rayleigh distributions

Author

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  • Fawziah Alshunnar
  • Mohammad Raqab
  • Debasis Kundu

Abstract

Surles and Padgett recently considered two-parameter Burr Type X distribution by introducing a scale parameter and called it the generalized Rayleigh distribution. It is observed that the generalized Rayleigh and log-normal distributions have many common properties and both distributions can be used quite effectively to analyze skewed data set. In this paper, we mainly compare the Fisher information matrices of the two distributions for complete and censored observations. Although, both distributions may provide similar data fit and are quite similar in nature in many aspects, the corresponding Fisher information matrices can be quite different. We compute the total information measures of the two distributions for different parameter ranges and also compare the loss of information due to censoring. Real data analysis has been performed for illustrative purposes.

Suggested Citation

  • Fawziah Alshunnar & Mohammad Raqab & Debasis Kundu, 2010. "On the comparison of the Fisher information of the log-normal and generalized Rayleigh distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(3), pages 391-404.
  • Handle: RePEc:taf:japsta:v:37:y:2010:i:3:p:391-404
    DOI: 10.1080/02664760802698961
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    Cited by:

    1. Saralees Nadarajah & Gauss Cordeiro & Edwin Ortega, 2013. "The exponentiated Weibull distribution: a survey," Statistical Papers, Springer, vol. 54(3), pages 839-877, August.

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