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Activity Number:
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184
- Contributed Poster Presentations: International Chinese Statistical Association
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2018 : 10:30 AM to 12:20 PM
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Sponsor:
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International Chinese Statistical Association
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Abstract #330262
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Title:
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A Likelihood Ratio Test for the Lorenz Order
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Author(s):
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Philip E. Cheng* and Chen-Da Chang and Arthur C. Tsai and Michelle Liou
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Companies:
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Academia Sinica and Academia Sinica and Academia Sinica and Academia Sinica
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Keywords:
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Gini Coefficient ;
Likelihood Ratio Test;
Lorenz Dominance;
Quantile Process
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Abstract:
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Testing the hypothesis of Lorenz order (dominance) has been examined with the empirical quantile process and evaluated with bootstrapped p-values in the literature. We consider an elementary approach to constructing a likelihood ratio test for the Lorenz order and demonstrate the analytic p-values with a few basic distributions. A simulation study and a data analysis are employed to illustrate the proposed test.
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Authors who are presenting talks have a * after their name.
