class statsmodels.emplike.descriptive.DescStatMV(endog)
[source]
A class for conducting inference on multivariate means and correlation.
Parameters: | endog (ndarray) – Data to be analyzed |
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endog
ndarray – Data to be analyzed
nobs
float – Number of observations
ci_corr ([sig, upper_bound, lower_bound]) | Returns the confidence intervals for the correlation coefficient |
mv_mean_contour (mu1_low, mu1_upp, mu2_low, …) | Creates a confidence region plot for the mean of bivariate data |
mv_test_mean (mu_array[, return_weights]) | Returns -2 x log likelihood and the p-value for a multivariate hypothesis test of the mean |
test_corr (corr0[, return_weights]) | Returns -2 x log-likelihood ratio and p-value for the correlation coefficient between 2 variables |
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.emplike.descriptive.DescStatMV.html