Generalized method of Pao-Zhuan Yin-Yu
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.
Year of publication: |
1998
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Authors: | Fu, James C. ; Li, Lung-An |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 37.1998, 4, p. 321-329
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Publisher: |
Elsevier |
Keywords: | Parametric resampling Method of Pao-Zhuan Yin-Yu Rao-Blackwell theorem Minimum variance unbiased estimate |
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