Characterization of Power-Function Distribution through Expectation

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DOI: 10.4236/ojs.2013.36052    2,475 Downloads   3,697 Views   Citations


For the characterization of the power function distribution, one needs any arbitrary non constant function only in place of independence of suitable function of order statistics, linear relation of conditional expectation, recurrence relations between expectations of function of order statistics, distributional properties of exponential distribution, record valves, lower record statistics, product of order statistics and Lorenz curve, etc. available in the literature. The goal of this research is not to give a different path-breaking approach for the characterization of power function distribution through the expectation of non constant function of random variable and provide a method to characterize the power function distribution as remark. Examples are given for the illustrative purpose.

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M. Bhatt, "Characterization of Power-Function Distribution through Expectation," Open Journal of Statistics, Vol. 3 No. 6, 2013, pp. 441-443. doi: 10.4236/ojs.2013.36052.


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