Jackknife empirical likelihood tests for distribution functions |
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| Authors: | Huijun Feng Liang Peng |
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| Institution: | School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332-0160, USA |
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| Abstract: | It has been a long history for testing whether the underlying distribution belongs to a particular family. In this paper, we propose some jackknife empirical likelihood tests via estimating equations. The proposed new tests allow one to add more relevant constraints so as to improve the powers. A simulation study shows the effectiveness of the new tests. |
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| Keywords: | Empirical likelihood method Estimating equations Goodness-of-fit tests |
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