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Ryan Boyden added figure /vca_output to article
almost 9 years ago
Commit id: 9db8eede271ed8521d38f7aae1499547283775fc
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diff --git a/layout.md b/layout.md
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section_Dendrograms_textit_Definition_A__.tex
figures/schematic/schematic.png
section_Velocity_Channel_Analysis_VCA__.tex
vca_output
section_Bispectrum_textit_Definition_Measures__.tex
section_Tsallis_textit_Definition_Function__.tex
section_Delta_Variance_textit_Definition__.tex
diff --git a/vca_output b/vca_output
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Fit to 1
OLS Regression Results
==============================================================================
Dep. Variable: y R-squared: 0.992
Model: OLS Adj. R-squared: 0.992
Method: Least Squares F-statistic: 1.088e+04
Date: Thu, 25 Jun 2015 Prob (F-statistic): 1.16e-95
Time: 17:36:29 Log-Likelihood: 120.61
No. Observations: 92 AIC: -237.2
Df Residuals: 90 BIC: -232.2
Df Model: 1
==============================================================================
coef std err t P>|t| [95.0% Conf. Int.]
------------------------------------------------------------------------------
const 13.0831 0.017 792.142 0.000 13.050 13.116
x1 -2.1646 0.021 -104.286 0.000 -2.206 -2.123
==============================================================================
Omnibus: 1.481 Durbin-Watson: 0.381
Prob(Omnibus): 0.477 Jarque-Bera (JB): 0.919
Skew: 0.123 Prob(JB): 0.632
Kurtosis: 3.424 Cond. No. 4.72
==============================================================================
Fit to 2
OLS Regression Results
==============================================================================
Dep. Variable: y R-squared: 0.991
Model: OLS Adj. R-squared: 0.991
Method: Least Squares F-statistic: 9873.
Date: Thu, 25 Jun 2015 Prob (F-statistic): 1.57e-90
Time: 17:36:29 Log-Likelihood: 117.16
No. Observations: 88 AIC: -230.3
Df Residuals: 86 BIC: -225.4
Df Model: 1
==============================================================================
coef std err t P>|t| [95.0% Conf. Int.]
------------------------------------------------------------------------------
const 13.0701 0.017 783.417 0.000 13.037 13.103
x1 -2.1612 0.022 -99.364 0.000 -2.204 -2.118
==============================================================================
Omnibus: 0.751 Durbin-Watson: 0.631
Prob(Omnibus): 0.687 Jarque-Bera (JB): 0.462
Skew: -0.173 Prob(JB): 0.794
Kurtosis: 3.082 Cond. No. 4.80
==============================================================================