Olga edited Methods Description.tex  over 9 years ago

Commit id: 1fda2e93f2f82f212adc57944d7c7435e561b7f0

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Conclusion about data is made based on 3 parameters:  1. $-2 \ln \lambda = 2[\ln L_{bimodal} - \ln L_{unimodal}] \sim \chi^2$ (the bigger $-2 \ ln \ln  \lambda$ is, the more we are convinced that it is a bimodal distribution) 2. $D = \frac {|\mu_1 - \mu_2|}{(\sigma^2_1+\sigma^2_2)/2)^{0.5}}$ ($D > 2$ is necessary for a bimodal distribution but not sufficient)