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The Efficiency of the Proposed Smoothing Method over the Classical Cubic Smoothing Spline Regression Model with Autocorrelated Residual

Journal of Mathematics Letters | Vol 1, Issue 1

Figure 1

Cubic smoothing spline and fitted curve using GCV, GML, UBR, and PSM, <i>(K=0.04) for </i><i>T = 20, rho = 0.2, 0.5, and 0.8, sigma = 0.8</i>
Figure 1. Cubic smoothing spline and fitted curve using GCV, GML, UBR, and PSM, (K=0.04) for T = 20, rho = 0.2, 0.5, and 0.8, sigma = 0.8
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