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- W2016450175 abstract "A correlation curve measures the strength of the association between two variables locally at different values of x. The purpose of this study is to obtain point-wise confidence intervals for a correlation curve using wild bootstrap techniques. Empirical coverage probabilities are found to be close to the specified nominal level. Bootstrapping is an attractive alternative to confidence intervals based on asymptotic expressions that have slow rate of convergence." @default.
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- W2016450175 date "2012-01-01" @default.
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- W2016450175 title "Bootstrap confidence interval for a correlation curve" @default.
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- W2016450175 doi "https://doi.org/10.1016/j.spl.2011.09.001" @default.
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