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Residual marked empirical process-based tests are commonly used in regression models. However, they suffer from data sparseness in high-dimensional space when there are many covariates. This paper has three purposes. First, for partially parametric single-index models, we suggest a partial dimension reduction adaptive-to-model testing procedure to extend an(More)
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