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Different estimation methods and joint confidence regions for the parameters of a generalized inverted family of distributions
Hacettepe Journal of Mathematics and Statistics
In this paper, we deal with the problem of estimating the parameters of a generalized inverted family of distributions. We propose the inverse moment and modied inverse moment estimators of the parameters. The existence and uniqueness of inverse moment and modied inverse moment estimators is derived. Monte Carlo simulations are conducted to compare their performances with maximum-likelihood estimators. Two methods for constructing joint condence regions for the two parameters are also proposeddoi:10.15672/hjms.201612016315 fatcat:nvswmooeubetfaey3hay7ta2y4