Research Article
The Lambert Way to Gaussianize Heavy-Tailed Data with the Inverse of Tukey’s h Transformation as a Special Case
Table 3
Summary statistics for observed (heavy-tailed)
and back-transformed (Gaussianized) data
.
stands for <
and
for <
.
| |
(Section 6.1) |
= S&P 500 (Section 6.2) | | | | | | |
| Min | −161.59 | −3.16 | 0 | −7.11 | −2.42 | Max | 952.95 | 3.81 | 33.18 | 4.99 | 2.23 | Mean | 2.30 | 0.03 | 14.98 | 0.05 | 0.05 | Median | 0.04 | 0.04 | 14.96 | 0.04 | 0.04 | Standard Deviation | 46.980 | 1.06 | 1.20 | 0.95 | 0.71 | Skewness | 17.43 | 0.12 | 3.90 | −0.30 | −0.04 | Kurtosis | 343.34 | 3.21 | 161.75 | 7.70 | 2.93 |
| Shapiro-Wilk | | 0.71 | | | 0.24 | Anderson-Darling | | 0.51 | | | 0.18 |
|
|