Estimation of the Generalized Rayleigh Distribution Parameters

نویسندگان

  • A. Al-khedhairi
  • A. Sarhan
  • L. Tadj
چکیده

This paper presents estimations of the generalized Rayleigh distribution model based on grouped and censored data. The maximum likelihood method is used to derive point and asymptotic confidence estimates of the unknown parameters. The results obtained in this paper generalize some of those available in the literature. Finally, we test whether the current model fits a set of real data better than other models.

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تاریخ انتشار 2007