Table 2
Summary of the β values obtained using the different techniques.
| Method | β value | ||
|---|---|---|---|
| Hα | Hβ | H |
|
| l.s.f(a) | − 0.98 ± 0.21 | − 0.97 ± 0.06 | − 0.96 ± 0.14 |
| l.s.f(b) | − 1.56 ± 0.13 | − 1.10 ± 0.08 | – |
| m.l.e(c) | − 1.45 ± 0.26 | − 1.12 ± 0.35 | − 1.01 ± 0.44 |
| m.l.e(d) | − 1.23 ± 0.33 | − 0.92 ± 0.26 | − 0.57 ± 0.33 |
Notes. l.s.fis least-squares fitting, and m.l.e is maximum likelihood estimation. (a) Implies least-squares fitting considering all data points, (b)least-squares fitting ignoring 5 points with lowest energy, (c)maximum likelihood estimation with bias and (d)maximum likelihood estimate without bias. H
corresponds to data from Crespo-Chacón et al. (2006).
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