### Navigation

- index
- modules |
- next |
- previous |
- statsmodels v0.1.0 documentation »

# Statistical Tests for Residual Analysis

This is a collection of statistical tests that can be used independent from any models. They are used in :mod: statsmodels to perform tests of the underlying assumptions of a statistical model, e.g. durbin_watson for autocorrelation of residuals, jarque_bera for normal distribution of residuals. Further tests on the properties of the residuals can be obtained from scipy.stats.

`durbin_watson`(resids) | Calculates the Durbin-Waston statistic
`jarque_bera`(resids) | Calculate residual skewness, kurtosis, and do the JB test for normality
`omni_normtest`(resids[, axis]) | Omnibus test for normality
`conditionnum`(exog) | Returns the condition number of an exogenous design array.

### Navigation

- index
- modules |
- next |
- previous |
- statsmodels v0.1.0 documentation »