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- W2006187702 abstract "A bootstrap procedure for testing the equality of several regression curves under dependence conditions is proposed. The errors are assumed to follow different ARMA structures. A test statistic based on the functional distances between nonparametric estimators of the regression functions is considered. The critical test values are obtained using a resampling method that takes into account the correlation structure. The consistency of the bootstrap procedure is established and its finite sample performance is investigated in a Monte Carlo study. Simulations show that our bootstrap-based test outperforms the asymptotic test. Applications are illustrated with a real data example." @default.
- W2006187702 created "2016-06-24" @default.
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- W2006187702 date "2012-03-15" @default.
- W2006187702 modified "2023-09-24" @default.
- W2006187702 title "A Bootstrap Test for the Equality of Nonparametric Regression Curves Under Dependence" @default.
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- W2006187702 doi "https://doi.org/10.1080/03610926.2010.535634" @default.
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