statsmodels.stats.weightstats.DescrStatsW.sum static DescrStatsW.sum() [source] weighted sum of data

statsmodels.stats.weightstats.DescrStatsW.std static DescrStatsW.std() [source] standard deviation with default degrees of freedom correction

statsmodels.stats.weightstats.DescrStatsW.mean static DescrStatsW.mean() [source] weighted mean of data

statsmodels.stats.weightstats.DescrStatsW.nobs static DescrStatsW.nobs() [source] alias for number of observations/cases, equal to sum of weights

statsmodels.stats.weightstats.DescrStatsW.demeaned static DescrStatsW.demeaned() [source] data with weighted mean subtracted

statsmodels.stats.weightstats.DescrStatsW.corrcoef static DescrStatsW.corrcoef() [source] weighted correlation with default ddof assumes variables in columns and observations in rows

statsmodels.stats.weightstats.DescrStatsW.cov static DescrStatsW.cov() [source] weighted covariance of data if data is 2 dimensional assumes variables in columns and observations in rows uses default ddof

statsmodels.discrete.discrete_model.CountResults.tvalues static CountResults.tvalues() Return the t-statistic for a given parameter estimate.

statsmodels.discrete.discrete_model.CountResults.resid static CountResults.resid() [source] Residuals Notes The residuals for Count models are defined as where . Any exposure and offset variables are also handled.

statsmodels.discrete.discrete_model.CountResults.prsquared static CountResults.prsquared()