varcorrection_unequal(var_all, nobs_all, df_all)¶
return joint variance from samples with unequal variances and unequal sample sizes
something is wrong
var_all : array_like
The variance for each sample
nobs_all : array_like
The number of observations for each sample
df_all : array_like
degrees of freedom for each sample
varjoint : float
dfjoint : float
joint Satterthwait’s degrees of freedom
(copy, paste not correct) variance is
1/k * sum_i 1/n_i
where k is the number of samples and summation is over i=0,...,k-1. If all n_i are the same, then the correction factor is 1/n.
This needs to be multiplies by the joint variance estimate, means square error, MSE. To obtain the correction factor for the standard deviation, square root needs to be taken.
This is for variance of mean difference not of studentized range.