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(b) For each data set D, or each Monte Carlo run, compute the three different kinds of local smoothing estimates at every point in Dj:

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(b) For each data set D, or each Monte Carlo run, compute the three different kinds of local smoothing estimates at every point in Dj: loess (with span = 0.75), Nadaraya- Watson (NW) kernel smoothing with Gaussian Kernel and bandwidth = 0.2, and spline smoothing wit the default tuning parameter

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