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• W1672394599 abstract "This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test. The paper also develops a Mathematica Code for the test algorithm." @default.
• W1672394599 created "2016-06-24" @default.
• W1672394599 creator A5053866715 @default.
• W1672394599 date "2001-01-01" @default.
• W1672394599 modified "2023-09-27" @default.
• W1672394599 title "A nonparametric hypothesis test via the Bootstrap resampling" @default.
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• W1672394599 doi "https://doi.org/10.22004/ag.econ.20600" @default.
• W1672394599 hasPublicationYear "2001" @default.
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