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• W2042683889 abstract "In this article, we consider a nonparametric regression model with replicated observations based on the dependent error’s structure, for exhibiting dependence among the units. The wavelet procedures are developed to estimate the regression function. The moment consistency, the strong consistency, strong convergence rate and asymptotic normality of wavelet estimator are established under suitable conditions. A simulation study is undertaken to assess the finite sample performance of the proposed method." @default.
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• W2042683889 date "2014-11-05" @default.
• W2042683889 modified "2023-09-27" @default.
• W2042683889 title "Wavelet Estimator in Nonparametric Regression Model with Dependent Error’s Structure" @default.
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• W2042683889 doi "https://doi.org/10.1080/03610926.2012.725500" @default.
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