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Two step estimation in burr type X distribution

Abstract

The two parameter Burr type X distribution is considered. The well known classical method – maximum likelihood (ML) estimation of both the parameters is attempted resulting in iterative solutions of the parameters. Hence, we propose reasonably efficient and computationally simple/analytical, estimation procedure called two-step estimation and present a comparative study of the efficiency of the proposed procedure in relation to the ML method.

Statistical Distribution Estimation and ApplicationsProbabilistic and Robust Engineering DesignAdvanced Statistical Methods and ModelsMathematicsSimple (philosophy)Applied mathematicsType (biology)Distribution (mathematics)Maximum likelihoodEstimation theoryAlgorithmMathematical optimizationRelation (database)
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0.37
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