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Table 5 For the data of Example 2.1, the adaptive scheme chose the score function with α =−12

From: Efficient and adaptive rank-based fits for linear models with skew-normal errors

α

β 1

β 2

β 3

τ ̂ φ

RobustR2

α=−12 (Adaptive Choice)

0.0035

0.2190

0.0368

0.3675

0.2743

α=−10

0.0030

0.2095

0.0480

0.3699

0.2732

α=−9

0.0037

0.1923

0.0514

0.3531

0.2828

α=−8

0.0042

0.1831

0.0544

0.3484

0.2865

α=−7

0.0043

0.1822

0.0537

0.3533

0.2849

α=−6

0.0044

0.1808

0.0540

0.3490

0.2884

α=−5

0.0044

0.1805

0.0531

0.3580

0.2838

α=−4

0.0043

0.1854

0.0449

0.3886

0.2668

  1. This table shows the variation in the rank-based fits for score functions in a neighborhood of α=−8.