Compute the exact variance of kernel test for the k-sample problem under
the null hypothesis that F1=...=Fk.
Usage
var_k(Kcen, sizes, cum_size)
Arguments
- Kcen
the matrix with centered kernel values
- sizes
vector indicating sample's size.
- cum_size
vector indicating sample's cumulative sizes.
Value
the value of computed variance.