Generalized method of Pao-Zhuan Yin-Yu
James C. Fu and
Statistics & Probability Letters, 1998, vol. 37, issue 4, 321-329
The method of Pao-Zhuan Yin-Yu introduced by Fu and Li (1992) is a data-based computer intensive resampling technique which provides a numerical solution for the minimum variance unbiased estimator of one-dimensional parameter. In this paper, the method is generalized to cover multi-dimensional parameters and functions of the parameters. This method also provides a solution to cases with nuisance parameters. Numerical examples are given to illustrate the method.
Keywords: Parametric; resampling; Method; of; Pao-Zhuan; Yin-Yu; Rao-Blackwell; theorem; Minimum; variance; unbiased; estimate (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:37:y:1998:i:4:p:321-329
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