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• W2916392714 abstract "A correlation curve measures the strength of the association between two variables locally at different values of covariate. This paper studies how to estimate the correlation curve under the multiplicative distortion measurement errors setting. The unobservable variables are both distorted in a multiplicative fashion by an observed confounding variable. We obtain asymptotic normality results for the estimated correlation curve. We conduct Monte Carlo simulation experiments to examine the performance of the proposed estimator. The estimated correlation curve is applied to analyze a real dataset for an illustration." @default.
• W2916392714 created "2019-03-02" @default.
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• W2916392714 date "2019-02-18" @default.
• W2916392714 modified "2023-10-17" @default.
• W2916392714 title "Correlation curve estimation for multiplicative distortion measurement errors data" @default.
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• W2916392714 doi "https://doi.org/10.1080/10485252.2019.1580708" @default.
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