International Journal of Mathematics and Mathematical Sciences / 2012 / Article / Tab 3 / Research Article
Robust Wavelet Estimation to Eliminate Simultaneously the Effects of Boundary Problems, Outliers, and Correlated Noise Table 3 Simulation results of global and local mean squared using AR
with different parameters. The first half of the table displays the global mean squared error.
I II III CD 0.3 1.032684 1.031848 0.9912508 0.5 1.190477 1.142319 0.8841418 0.7 1.454564 1.417338 0.8683088 0.9 1.186370 1.117227 0.7043864 SQ 0.3 1.603859 1.070997 1.672791 0.5 1.646231 1.084239 1.700433 0.7 1.829821 1.050726 1.625967 0.9 1.981135 1.121463 1.589858 AQ 0.3 1.430155 0.8245817 1.563744 0.5 1.921071 1.3050117 1.888181 0.7 1.774816 1.0581883 1.713439 0.9 1.917869 1.5325202 1.702284 Fat tail data 0.3 1.0792571 0.9587506 0.9144366 0.5 0.9066489 0.8696987 0.7690691 0.7 1.3491463 1.2460089 0.8146345 0.9 1.5744066 1.4142226 0.7023962 mse at boundary CD 0.3 1.959192 1.993277 1.9739248 0.5 1.698549 1.601896 1.2203974 0.7 1.161763 1.426407 0.9157507 0.9 1.647253 1.808840 1.1332881 SQ 0.3 2.045994 1.6759544 2.374387 0.5 1.891612 1.2883680 2.514418 0.7 1.714374 0.8980506 2.353474 0.9 2.196825 0.9884269 1.968370 AQ 0.3 1.796641 1.135821 2.304636 0.5 2.336372 1.676010 2.936859 0.7 1.752143 1.256421 1.807269 0.9 2.542747 2.410233 2.061829 Fat tail data 0.3 1.3175606 1.3487222 1.0755325 0.5 0.6829416 0.6869467 0.8313126 0.7 1.0077950 1.0629237 0.8260527 0.9 1.0001727 1.3372696 0.6346054