# statsmodels.regression.mixed_linear_model.MixedLMResults.bse_re¶

MixedLMResults.bse_re()[source]

Returns the standard errors of the variance parameters.

The first k_re x (k_re + 1) elements of the returned array are the standard errors of the lower triangle of cov_re. The remaining elements are the standard errors of the variance components.

Note that the sampling distribution of variance parameters is strongly skewed unless the sample size is large, so these standard errors may not give meaningful confidence intervals or p-values if used in the usual way.